1 00:00:00,990 --> 00:00:04,410 Could you just start by saying your name and what your current job title is? 2 00:00:04,560 --> 00:00:06,140 Yes, I am Nicole Suzman. 3 00:00:06,180 --> 00:00:13,770 I am principal investigator here at the biochemistry department in Oxford, and I am leading an antiviral drug discovery group. 4 00:00:13,770 --> 00:00:17,969 And I'm also the associate, one of the associate heads of the biochemistry department at the moment. 5 00:00:17,970 --> 00:00:21,920 So I'm the head of the Infection and Disease Processes group ITP. 6 00:00:22,440 --> 00:00:23,580 Great. Thanks very much. 7 00:00:23,820 --> 00:00:31,560 And so going back to the very beginning, how did you first decide that scientific research was what you were going to want to do? 8 00:00:31,890 --> 00:00:40,470 Well, it was not my decision, really. It was made for me when I was still at school, in secondary school in Germany. 9 00:00:40,920 --> 00:00:48,090 I specialised very much in art, art history, ancient Greek and Latin, and that's what I wanted to do with my life. 10 00:00:51,300 --> 00:00:58,110 But I was quite good in all the subject matters. And when I finished school, my father was convinced that I should do something proper with my life. 11 00:00:58,680 --> 00:01:03,629 And in his mind that was science. I don't know where he got that from because he himself wasn't a scientist. 12 00:01:03,630 --> 00:01:12,360 But I think he must have admired science. And given that I had never concentrated on science before, I thought I go for the easiest option. 13 00:01:12,360 --> 00:01:20,790 That was biology at the time. And I started studying biology in Bonn for three years, and I did not enjoy that too much. 14 00:01:21,390 --> 00:01:26,100 So I in evening class, I started to learn English because I wanted to learn another language. 15 00:01:26,640 --> 00:01:31,290 And at that point it became possible to go abroad. 16 00:01:31,290 --> 00:01:34,560 And I thought, okay, I better immerse myself in the language, learn the language. 17 00:01:35,040 --> 00:01:38,750 And that wasn't possible as an English student because everybody wanted to go abroad. 18 00:01:38,760 --> 00:01:41,100 But I was still enrolled as a biology student. 19 00:01:41,520 --> 00:01:47,100 And at the time there was something called a European Social Fund that enabled me to go abroad to Scotland at the time. 20 00:01:47,730 --> 00:01:54,300 And of course I had this this vision of Scotland that you have as a young German girl of Highland, Romantic and all the rest of it. 21 00:01:54,840 --> 00:01:59,250 And I ended up as a biochemistry student in Dundee. 22 00:02:00,180 --> 00:02:07,379 And little did I know at the time that that was one of the best biochemistry departments in Britain, because I wasn't well prepared. 23 00:02:07,380 --> 00:02:11,400 I went there to learn the language. Of course, it wasn't English, it was proper Scottish, I learned. 24 00:02:11,970 --> 00:02:19,290 And but while I was there I started my master's and later the Ph.D. and there I absolutely fell in love with biochemistry. 25 00:02:19,290 --> 00:02:25,650 And that was mainly, I want to say, due to my then supervisor, Professor Mike Ferguson, 26 00:02:26,400 --> 00:02:32,100 who was also the first person to describe my uncle's Glycosylated Phosphatidylinositol, 27 00:02:32,100 --> 00:02:38,549 and because he had discovered them and analysed them and I ended up in his lab and the way this Anglo-Saxon way of teaching, 28 00:02:38,550 --> 00:02:42,720 I remember first walking into the lab and he was fiddling around with a mass spectrometer, 29 00:02:42,720 --> 00:02:46,020 which in Germany he would never as a student be able to come near. 30 00:02:46,620 --> 00:02:52,139 And he basically just said, Sit down, I'm doing this, you put this button over there, you will see these ions going up. 31 00:02:52,140 --> 00:02:57,600 So this kind of narrative teaching, I was absolutely, absolutely hooked by this. 32 00:02:57,600 --> 00:03:02,370 And yeah, I fell in love with biochemistry and in in Scotland. 33 00:03:02,370 --> 00:03:07,710 And from there on I never thought I would do a Ph.D., obviously, but encouraged me to do so. 34 00:03:07,830 --> 00:03:10,020 And what was the subject of sleeping sickness? 35 00:03:10,020 --> 00:03:18,929 So he worked on CPI and because that carried the surface proteins of trypanosoma, which are the causative agents of sleeping sickness. 36 00:03:18,930 --> 00:03:26,549 And so I did my first, my Master's and then my Ph.D. on the sugars that are attached to these proteins is that these 37 00:03:26,550 --> 00:03:31,440 little blood parasites carry to protect themselves from the immune system attacking them. 38 00:03:32,760 --> 00:03:41,010 Yes. So it's really thanks to Mike Ferguson that I am in science and state in science, and he had also been in Oxford for a while. 39 00:03:41,370 --> 00:03:49,409 So when it came when I finished my Ph.D., there are three ways of attaching sugars to proteins. 40 00:03:49,410 --> 00:03:53,280 One, I had just learned GPI anchors and the other ones are only glycans. 41 00:03:53,730 --> 00:03:58,790 And so there was this like a biology institute down here in Oxford, founded by Professor Raymond Dweck. 42 00:03:59,550 --> 00:04:05,190 And I thought, okay, you know, I know one. I can analyse one way of attaching sugars to proteins. 43 00:04:05,190 --> 00:04:08,910 If I now will just learn the other two, I will make myself very employable. 44 00:04:09,120 --> 00:04:14,940 I thought so down here. I came to Oxford in 1997 and. 45 00:04:15,750 --> 00:04:22,410 And it all linked comparable easy to understand after two and because I picked it up reasonably fast and at the time. 46 00:04:22,710 --> 00:04:26,400 So yes, I just went, oh, it just went a little bit more explanation why? 47 00:04:27,390 --> 00:04:31,740 What happens when targets get attached to proteins? Why do the proteins need to have sugars attached? 48 00:04:31,800 --> 00:04:36,630 There are many different reasons why I would want to do that. They're are very generic reasons. 49 00:04:37,140 --> 00:04:43,070 When proteins are being made and synthesised into the into the organelles called the endoplasmic reticulum, 50 00:04:43,980 --> 00:04:50,219 the ones that I'm interested in, I should say the proteins that I'm interested in are usually secreted proteins are made into the air. 51 00:04:50,220 --> 00:04:54,000 And so it's a super dense soup of proteins that are trying to fold. 52 00:04:54,450 --> 00:04:59,400 And so if they would be hydrophobic, they would just all clump. 53 00:04:59,440 --> 00:05:01,719 Together as one big glue and they couldn't fold properly. 54 00:05:01,720 --> 00:05:06,459 So one very generic reasons why then each of us at that point is just to put a lot of sugars around them. 55 00:05:06,460 --> 00:05:12,910 So that makes them soluble in water in a watery environment and to repel each other, you know, that makes them water soluble. 56 00:05:12,910 --> 00:05:19,600 So that's one generic reason. And but they are also extremely specific reasons why proteins need sugar. 57 00:05:19,600 --> 00:05:24,940 So sugars are attacks that tell a protein where to go inside a cell, where to go when they leave the cell, 58 00:05:24,940 --> 00:05:32,500 where if they are part of, say, multi organ body like all human body, tell them which organ to go to, what job to do. 59 00:05:32,680 --> 00:05:38,889 They know that they determine the half life of of glycoprotein hormones. 60 00:05:38,890 --> 00:05:45,640 For example sugars have a whole variety of of jobs and why proteins might need and in the context of viruses, 61 00:05:45,640 --> 00:05:53,080 of course, it becomes even more interesting. And that's important to know that these sugars are supplied by us, the human host. 62 00:05:53,740 --> 00:06:01,600 And so viruses can't bring them in with them. So they need they desperately need to steal them from us and they use them for their purposes. 63 00:06:03,430 --> 00:06:07,780 So when I arrived first here in the Oxford Like Biology Institute, 64 00:06:07,780 --> 00:06:12,550 I wasn't a virologist at all, but there were visiting professors from America at the time. 65 00:06:13,170 --> 00:06:17,920 A Professor Tim Logan had brought also some other American, Tim BLOCK LLC, 66 00:06:19,330 --> 00:06:28,330 and he was a he is a hepatitis B scientist and he had brought his American colleagues with some who did PhDs here. 67 00:06:28,570 --> 00:06:36,549 And so obviously I was working in the same physical labs and I heard them talking about viruses every day, and it was exciting. 68 00:06:36,550 --> 00:06:41,890 I could feel the vibration in the room and it was so important and I just was immediately hooked. 69 00:06:41,890 --> 00:06:48,670 Honestly, I just thought, Oh my goodness. And Barry Blumberg came a lot to the institute. 70 00:06:48,670 --> 00:06:53,920 And he obviously, you know, they're able to make the Nobel Prize for the prize for Epstein-Barr virus. 71 00:06:53,980 --> 00:06:57,760 No, Hepatitis B virus. Yeah, I guess it was. Yeah, exactly. 72 00:06:58,660 --> 00:07:09,190 And he was there and he kind of just took an interest in me and became my mentor and which was incredibly exciting for a young new post-doc. 73 00:07:09,190 --> 00:07:15,250 And he was a wonderful gentleman and, and, and talked just talked a lot about things of, of, of interest. 74 00:07:16,030 --> 00:07:21,220 And so because I was like a are trained like a biologist and I had met these virologists 75 00:07:21,610 --> 00:07:26,200 and what I then very quickly learned is that viruses steal these sugars from us. 76 00:07:26,200 --> 00:07:28,900 They need them to fold their envelope like proteins properly. 77 00:07:29,080 --> 00:07:36,850 Not all viruses, just those envelope viruses, but there are enough of them and many of them are human pathogens and killer viruses, really. 78 00:07:37,720 --> 00:07:43,270 And I thought, okay, if they need this so desperately, we should interfere with this glycosylation process. 79 00:07:43,270 --> 00:07:49,089 And as I explained, it's a wholesale process. It's something they can't do much about because they need these sugars. 80 00:07:49,090 --> 00:07:53,350 If I interfere with a wholesale produce process that the viruses need, 81 00:07:54,010 --> 00:07:59,469 they can't very easily mutate around this because we as a human host and mutate incredibly slowly. 82 00:07:59,470 --> 00:08:10,180 Hopefully if you mutate, you might get cancer. So so we have hundreds of ways to prevent us from mutating, you know, all these checkpoints, you know, 83 00:08:10,930 --> 00:08:17,049 And so viruses will have a problem if they need these sugars, they will have a problem to mutate around the need for these sugars. 84 00:08:17,050 --> 00:08:21,940 And that has actually held true over the last 20 years since I started working with viruses. 85 00:08:22,390 --> 00:08:27,910 We have yet to find a virus that is actually able to mutate around the drugs. 86 00:08:27,910 --> 00:08:37,149 And then we proceeded to develop over the last 20 years that are actually targeting the whole cell process of adding and modifying this in Glycans. 87 00:08:37,150 --> 00:08:43,480 It's one of these subsections of glycans to proteins that are synthesised into the and the plasmid reticulum. 88 00:08:43,660 --> 00:08:49,000 Is there a problem developing a Trump drug that does that given that it is a host, 89 00:08:50,080 --> 00:08:55,600 the process that so presumably the host needs it and you don't want to stop it doing what it normally does? 90 00:08:56,020 --> 00:08:57,099 That's absolutely true. 91 00:08:57,100 --> 00:09:05,860 It is a very justified question and is also often the question I first get on conferences and starting at the end of what you just said, 92 00:09:05,860 --> 00:09:09,189 we do not intend to entirely stop the host cell process. 93 00:09:09,190 --> 00:09:18,940 So we never set out to 100% inhibit the enzymes, our enzymes that put these sugars on and modify them in a way that the virus needs them. 94 00:09:20,050 --> 00:09:25,810 That is never the intended effect. Even if we wanted to, we never managed to, you know, the drugs that we developed, they need to get into the cell. 95 00:09:25,810 --> 00:09:30,880 They need to cross the cellular membrane. They need to cross a second membrane that gets them into that organelle. 96 00:09:31,630 --> 00:09:39,010 They never get to that organelle at a at an amount that can inhibit these enzymes to a large extent. 97 00:09:39,010 --> 00:09:45,370 We have a way of of gauging how much we are actually inhibiting these enzymes. 98 00:09:45,550 --> 00:09:50,740 And we have a way of estimating roughly by how much we need to inhibit to send them to get an antiviral effect. 99 00:09:51,220 --> 00:09:55,690 We for some and for every virus that will be different, but for the ones we did look at it, 100 00:09:56,260 --> 00:09:59,320 we possibly only need to take all these enzymes and possible. 101 00:09:59,340 --> 00:10:04,950 You inhibit them by around 10%, we reckon, to get a quite pronounced antiviral effect. 102 00:10:05,400 --> 00:10:10,830 So that is number one. So we never set out to do that to actually inhibited entirely. 103 00:10:11,310 --> 00:10:15,660 Plus, of course, by now these drugs have been in lots of different animal models as they have 104 00:10:15,660 --> 00:10:19,770 been in humans for a long time because they are also used for other diseases, 105 00:10:19,770 --> 00:10:24,720 I should say. Trying to develop them in antivirals wasn't the first idea. 106 00:10:24,750 --> 00:10:29,580 There are other processes in the body that can go wrong and that these drugs might help with, and they do. 107 00:10:29,850 --> 00:10:34,290 So some of these immunotherapies there are, they call them immuno sugar sugar analogues, 108 00:10:34,290 --> 00:10:37,950 and they inhibit some of these enzymes that modify the sugars. 109 00:10:38,580 --> 00:10:43,500 They have been in the clinic already and they are used clinically against things 110 00:10:43,500 --> 00:10:48,719 like all shades go shade disease and Tay-Sachs fabric diseases like this, 111 00:10:48,720 --> 00:10:51,030 almost like a story, like a lipid storage diseases. 112 00:10:51,540 --> 00:10:59,069 These drugs have been developed alternate like Biology Institute under the leadership of Professor Dweck by Fran Plotz, 113 00:10:59,070 --> 00:11:05,520 who's now the head of pharmacology, and Terry Terry Butters. This was instrumental people together with Monsanto, I believe. 114 00:11:05,900 --> 00:11:10,730 Yes. So what? What other viruses did you work on? 115 00:11:10,760 --> 00:11:14,989 So when I started, I obviously, you know, you get excited by this. 116 00:11:14,990 --> 00:11:21,740 You want it make a difference in the world. You want to work on viruses that actually kill people and that are a big problem. 117 00:11:21,740 --> 00:11:27,379 And at the time, the viruses that the virus had, everybody tried to do something about was hepatitis C virus. 118 00:11:27,380 --> 00:11:34,310 And the problem with that was you could not grow hepatitis C viruses outside of the human body at the time. 119 00:11:35,270 --> 00:11:41,030 And and that only became possible in 2005, I want to say, with three groups internationally at the same time, 120 00:11:41,330 --> 00:11:45,739 kind of managed to get everything in place to have a very complicated system up 121 00:11:45,740 --> 00:11:48,830 and running where you could grow hepatitis C virus outside as a human body. 122 00:11:49,670 --> 00:11:57,170 But before then, one of these people, a life like he had in Heidelberg in Germany, had been aware of our work that we tried to do. 123 00:11:57,170 --> 00:12:01,880 You just say his name a bit more. Sorry. Ralph Barton Talaga Okay. 124 00:12:02,030 --> 00:12:05,570 And and he had actually contacted me. 125 00:12:05,600 --> 00:12:11,000 He had read about these immuno sugars and because we could not grow hepatitis C outside the human body, we had, 126 00:12:11,360 --> 00:12:19,159 we had looked at the viral family trees and we had picked the virus that is closest to hepatitis C, but it could grow. 127 00:12:19,160 --> 00:12:24,320 And that was to say that solely BTV Bovine Viral Diarrhoea Virus. 128 00:12:24,980 --> 00:12:32,660 And so we worked on Baby to be a pest virus. In the same family. 129 00:12:32,660 --> 00:12:39,260 It's a flooded river like hepatitis C and had done all our work on pesky viruses. 130 00:12:39,260 --> 00:12:45,620 And this immunity has worked. And so he he just briefly, before they actually published that they could grow hepatitis C, 131 00:12:45,620 --> 00:12:49,579 they had contacted us and asked whether we could try the immediate on hepatitis C, 132 00:12:49,580 --> 00:12:56,540 And of course, we were beyond excited at the time until we could show and we published studies and that it works against hepatitis C as well. 133 00:12:57,590 --> 00:13:03,299 At that point, they all just started. This is we're still talking about in vitro or in vitro. 134 00:13:03,300 --> 00:13:10,010 Yes. And then at that point, we started a clinical trial. But that that which did not work. 135 00:13:10,160 --> 00:13:15,680 But it was also not an it was also not I didn't go into so much detail. 136 00:13:15,680 --> 00:13:19,969 It was also not a folding inhibitor, the one that actually made it into the clinic. 137 00:13:19,970 --> 00:13:22,130 And there are other reasons why that clinical trial didn't work, 138 00:13:22,550 --> 00:13:29,510 because we couldn't take at the time blood samples of patients and then test outside of the human body, 139 00:13:29,540 --> 00:13:34,309 you know, because they had none of these wonderful artificially made viruses so you could grow. 140 00:13:34,310 --> 00:13:38,480 They have the real virus and we could not grow it outside the human body. 141 00:13:38,480 --> 00:13:44,740 So we couldn't really test for the infectivity of these viral particles because that's a big problem. 142 00:13:44,750 --> 00:13:48,890 This is host targeting is our approach of host targeting the other approaches. 143 00:13:50,210 --> 00:13:56,600 On the whole, we do not because we we do not directly target the virus. 144 00:13:56,660 --> 00:14:05,569 We are not these direct acting drugs, direct acting drugs which say, for example, inhibit the polymerases of viruses, the proteases of viruses. 145 00:14:05,570 --> 00:14:12,020 When they work, you get a massive drop of measurable viral RNA or DNA inside a human body. 146 00:14:12,020 --> 00:14:16,219 What we commonly refer to a block drop, you know, like, you know, 147 00:14:16,220 --> 00:14:21,650 thousands of tons of particles disappear quite quickly in over a few days or weeks window. 148 00:14:22,340 --> 00:14:28,970 And because everybody's used to this, everybody looks for this. And that is a clinical readout for for most regulatory bodies. 149 00:14:29,180 --> 00:14:33,710 They always compared to what's already out there and say, oh, do you have a two locked drop in two weeks? 150 00:14:34,010 --> 00:14:40,670 And no, we will never have that with a host targeting because these viruses often can still form. 151 00:14:41,180 --> 00:14:45,379 They just must fall their outside shell, you know, and they still are in your blood. 152 00:14:45,380 --> 00:14:51,980 So if you take a blood sample and look at the RNA, it's still there, but it is sitting inside a non-infectious particle. 153 00:14:51,980 --> 00:14:55,820 So that part cannot go to the liver and cause liver cancer later on. 154 00:14:56,120 --> 00:15:03,409 It can't go wherever which virus we talk about, but we can't have a clinical readout because the RNA or DNA is actually still there. 155 00:15:03,410 --> 00:15:12,140 And that makes it incredibly difficult for us to plan clinical trials to convince people that it's a worthwhile attempt to do this. 156 00:15:12,650 --> 00:15:20,120 And in any case, you should, I think, never just want to go for a monotherapy with a host targeting or and you know, 157 00:15:21,170 --> 00:15:26,990 that that might have been a very naive thought at the very beginning, 20 years ago when you first thought about this. 158 00:15:27,620 --> 00:15:32,510 But the idea would obviously always to be to put this together with, say, a direct acting drug. 159 00:15:33,590 --> 00:15:39,920 And the beauty there is that could, you know, a direct acting drug could cause a massive quick drop, the one that everybody wants to see. 160 00:15:41,090 --> 00:15:44,239 But the problem is that this direct action drugs is very often these viruses can 161 00:15:44,240 --> 00:15:47,360 mutate around them very quickly because they are directly against the viruses. 162 00:15:47,360 --> 00:15:51,679 And if you're dealing with a fast mutating virus and the viruses that we worked with at the time, 163 00:15:51,680 --> 00:15:58,070 hepatitis C, hepatitis A, HIV, hepatitis B, these are some of the fastest mutating viruses we know. 164 00:15:58,700 --> 00:16:04,190 So these direct acting drugs usually give rise to viral escape movements very, very quickly. 165 00:16:04,910 --> 00:16:11,780 And so the dream at that point, the idea was to at one of our immune as one of our host targeting, 166 00:16:11,780 --> 00:16:15,349 just to kind of put it into that cocktail is a very non-toxic drug. 167 00:16:15,350 --> 00:16:18,440 I didn't ever finish that one. I was wondering what I didn't finish earlier. 168 00:16:18,770 --> 00:16:29,749 It's very non-toxic. These a targeting GLYCOSYLATION inhibitors we are working on to add on to or say a drug cocktail to hoover up 169 00:16:29,750 --> 00:16:35,959 all these potential escape mutants of the direct action drug giving the direct acting drug a longer lease, 170 00:16:35,960 --> 00:16:40,450 a longer life to work, and maybe get totally rid of any viral reservoirs in your bodies. 171 00:16:40,700 --> 00:16:43,909 Maybe so. That's currently the idea. 172 00:16:43,910 --> 00:16:50,090 What we really would like to do with ways to use that is that was true until very recently 173 00:16:50,090 --> 00:16:55,220 and until we very recently stumbled across yet another way of giving this immuno sugar. 174 00:16:55,240 --> 00:16:59,120 So everything I've discussed so far is when you give me initial this, you know, 175 00:16:59,120 --> 00:17:05,779 I want to say in a normal way three times daily at quite low doses as a pill, as a pill orally available. 176 00:17:05,780 --> 00:17:08,930 That's one of the beauties of these amino sugars. After all, they are sugar analogue. 177 00:17:09,530 --> 00:17:14,690 They don't taste sweet, all of them there. Some of them are quite bitter tasting, but you can just obviously coat them in something nice. 178 00:17:15,440 --> 00:17:20,840 And and that's how how all our trials went. 179 00:17:21,140 --> 00:17:27,920 And so we are not the only group working on, on immune sugars and other groups who have looked at other sugars and done clinical trials. 180 00:17:30,010 --> 00:17:38,950 The toxicity that usually comes up with this kind of immunity to this in humans tends to be gut related because these are sugar analogues or drugs, 181 00:17:39,370 --> 00:17:44,830 so they are recognised by almost everything in the body that recognises, in our case glucose, glucose and our target sugar. 182 00:17:45,280 --> 00:17:48,430 And so there are, for example, in our guts we have these disaccharides, 183 00:17:48,670 --> 00:17:54,520 and if we inhibited by taking this drug that often leads to osmotic diarrhoea and 184 00:17:54,520 --> 00:17:57,999 in the very first immunosorbent trial and nobody actually knew how they worked, 185 00:17:58,000 --> 00:18:07,600 it was. And then and in the eighties they added this to an AIDS drug, AZT, the first and only one at the time they, they, they tried. 186 00:18:08,720 --> 00:18:12,340 Um the did decide the effect was osmotic diarrhoea. 187 00:18:15,340 --> 00:18:19,149 So there are some side effects when you do this and you give this for a longer time. 188 00:18:19,150 --> 00:18:25,360 And so together with other colleagues, with our industrial partners EBS at the time in America. 189 00:18:26,050 --> 00:18:38,290 Emergent Biosolutions. We discovered that if you give a very high dose of ammunition to us, but only once, that that was enough to to save, 190 00:18:38,650 --> 00:18:45,700 say, in this case and this paper be published, either dengue or influence infected mice from virally induced death. 191 00:18:45,770 --> 00:18:49,870 So normally this poor mice, they die after usually somewhere between day six and ten. 192 00:18:50,320 --> 00:18:54,040 And we could save most, if not all of them with a high dose. 193 00:18:54,700 --> 00:19:00,190 And we still don't know how that works. We are working very actively at finding out. 194 00:19:01,330 --> 00:19:10,090 But the thing is, it does work. And so at some point, at some point we will do more toxicity testing. 195 00:19:10,090 --> 00:19:15,190 That's the dream. Now, to do that in humans, to see how high up we can go with this immunity of this. 196 00:19:21,270 --> 00:19:29,180 And at the time we went up, I think to three. And again, it wasn't the toxicity that that was preventative. 197 00:19:29,190 --> 00:19:38,610 So we hope that we can go up. Actually maybe up to six gram in humans and then have a single pill or maybe six gram is a big, 198 00:19:38,640 --> 00:19:44,430 big might be actually three pills that you take and then people tell about that 199 00:19:44,430 --> 00:19:49,680 might be preventative and but you have to think back to say the early days of HIV, 200 00:19:49,680 --> 00:19:53,909 for example, people took 20 or 30 pills a day to survive. 201 00:19:53,910 --> 00:19:59,520 And then you make it better and better. And these days you have a single pill for HIV treatment. 202 00:19:59,520 --> 00:20:04,020 You know, you have to start somewhere and you could think of more maybe potent amino 203 00:20:04,020 --> 00:20:09,270 sugars or what We believe we have now identified the target enzyme for this, 204 00:20:09,270 --> 00:20:14,459 what we call a single high dose approach, which is one of these glycosylation enzymes that was always our target. 205 00:20:14,460 --> 00:20:20,040 We just never thought we could actually inhibited inside a cell, inside a living cell, but we found out we can. 206 00:20:20,670 --> 00:20:27,180 And so now this is the target enzyme that we could try to make other kinds of drugs again so it doesn't have to be an immune or sugar. 207 00:20:27,180 --> 00:20:31,950 But to be honest, I do like him initially to say that actually as a drug, not bad at all. 208 00:20:31,950 --> 00:20:34,739 People always say that. But it's also talking isn't a dangerous. 209 00:20:34,740 --> 00:20:38,639 I'm thinking just because I tell you it's always targeting doesn't make it dangerous because 210 00:20:38,640 --> 00:20:43,620 most drugs out there in this world are actually horse targeting and nobody bats with an eyelid. 211 00:20:43,620 --> 00:20:49,229 You know, it's like your aspirin. You anything you take as host targeting, you know, not anything. 212 00:20:49,230 --> 00:20:56,670 I mean, famously antibiotics are not. But, you know, many, many things you take for other diseases or pathologies. 213 00:20:56,820 --> 00:21:00,479 And you talked about this. You were talking about side effects and then you talked about the single high dose. 214 00:21:00,480 --> 00:21:04,890 Yes. So do you get the side effects, but not for very long. Is that is that the advantage? 215 00:21:05,190 --> 00:21:09,180 So I would imagine that that that to be the case. I would imagine that could possibly. 216 00:21:09,360 --> 00:21:13,950 We don't know. So quick answer. We have the toxicity. 217 00:21:14,190 --> 00:21:19,740 We have human tox data, and there doesn't appear to be any related toxicity with this. 218 00:21:19,920 --> 00:21:23,790 And the hope would obviously be if you only have to take it once. 219 00:21:24,240 --> 00:21:27,990 Just by not eating anything at the same time. Well, that drug is in your body. 220 00:21:27,990 --> 00:21:31,080 You will not get that side effect because these enzymes in your guts have nothing to do. 221 00:21:31,470 --> 00:21:38,550 You know that You wouldn't get an osmotic diarrhoea. You know, you could probably possibly not eat for a few hours if it's that or, you know. 222 00:21:38,760 --> 00:21:48,360 And also sometimes, I mean, of course side effects are a dealbreaker and can be a dealbreaker sometimes. 223 00:21:48,360 --> 00:21:55,079 I personally think if I'm faced with a potentially lethal virus and a short term osmotic diarrhoea, 224 00:21:55,080 --> 00:22:02,340 if that really was the worst side effect that will come out, which I can't predict, then I know what I personally would do. 225 00:22:02,850 --> 00:22:11,140 But I understand that this is a concern. But just because it's a host targeting, I don't think our side effects are any less. 226 00:22:11,340 --> 00:22:19,020 We observe as these drugs are any worse. And you see this purposefully day drugs, you know, the protease inhibitors, 227 00:22:19,020 --> 00:22:26,430 polymerase inhibitors come with quite considerable side effects and everybody seems to be it. 228 00:22:26,570 --> 00:22:28,890 I find it's almost a psychological problem. 229 00:22:28,950 --> 00:22:37,049 Everybody seems to be okay with that, you know, But just because I say I go on purpose for the host, then somehow it doesn't seem to be okay anymore, 230 00:22:37,050 --> 00:22:45,090 you know, so but I understand and we have to obviously toxicity breaks most drugs and whether that's DEA or HDI, it doesn't matter. 231 00:22:45,090 --> 00:22:54,540 You know, the toxicity has to be good, especially if, say, we're now dreaming this, our dreams of of giving this almost prophylactically. 232 00:22:54,540 --> 00:23:03,450 Or maybe if you think you've encountered somebody who was coughing or you had a COVID case or whatever influenza case, 233 00:23:04,920 --> 00:23:07,950 and if you ever even consider giving drugs like that, 234 00:23:07,980 --> 00:23:18,389 like almost prophylactic, the safety profile of these drugs have to be even more even more convincing than if you already know you have a disease. 235 00:23:18,390 --> 00:23:22,740 So, yes, safety will be the be all and end all across all drugs. 236 00:23:22,920 --> 00:23:31,950 So just one more general question. All this effort, all your effort, efforts going into finding drugs against viruses. 237 00:23:31,950 --> 00:23:35,100 But the other strategy for dealing with viruses is vaccines. 238 00:23:35,440 --> 00:23:45,120 What are the relative roles of vaccines and drugs? And I think especially when it comes to preventing outbreaks, preventing pandemics, 239 00:23:45,270 --> 00:23:49,860 certainly from preventing pandemics or turning into or epidemics turning into pandemics, I should say. 240 00:23:50,430 --> 00:23:57,120 I think vaccines are by far the most important by far the most important tool in the toolbox. 241 00:23:57,750 --> 00:24:03,630 There's no question about that. And I never see one against the other. 242 00:24:03,690 --> 00:24:08,009 You know, we need everything in the toolbox to fight these diseases. 243 00:24:08,010 --> 00:24:13,350 And of course, once you already have a disease, then the vaccine tends to not be that helpful anymore. 244 00:24:13,350 --> 00:24:20,489 So you will always you will end up in situations where lots of people carry viruses before a vaccine gets developed, 245 00:24:20,490 --> 00:24:28,800 whether that's a chronic virus like hepatitis B or, say, a new, acute and emerging virus, some possibly potentially pandemic causing virus. 246 00:24:29,970 --> 00:24:33,750 Very sadly, you will always have many, many more people infected by that time. 247 00:24:34,200 --> 00:24:42,809 You may or may not have a vaccine this time through the work of incredible people would be so unbelievably fast, have these vaccines available. 248 00:24:42,810 --> 00:24:47,639 But in one year, as you know, I mean, millions and millions and millions of people were suffering. 249 00:24:47,640 --> 00:24:53,040 If we had if we had a very generic drug site in my in my mind, 250 00:24:53,040 --> 00:24:59,339 that can by definition only be a host targeting antiviral because we never know what the next virus will look like. 251 00:24:59,340 --> 00:25:02,370 Like in this case, we had a rough idea. In fact, 252 00:25:02,820 --> 00:25:09,149 the direct acting drugs that were specifically developed against SARS-CoV-2 were so fast or in the 253 00:25:09,150 --> 00:25:15,090 pipeline because they already knew what the protease of that virus very quickly in the outbreak. 254 00:25:15,090 --> 00:25:18,299 They knew what the protease looked like. They could as they could do the FBI. 255 00:25:18,300 --> 00:25:26,040 These screens, I believe you talk to Anita from Delft. And yeah, so they were doing the moonshot and we were my group was heavily involved in this. 256 00:25:26,850 --> 00:25:34,200 And but again, even the fastest possible specific drug development will never be fast enough. 257 00:25:34,680 --> 00:25:43,020 It just can't be. So in this dream world of mine, there would be a drug on the shelf, a long live drug, a very cheap drug, 258 00:25:43,620 --> 00:25:49,920 something orally available that people, governments, countries could stockpile if they so decided. 259 00:25:51,090 --> 00:25:54,959 And that way you don't have to know the exact structure of that incoming virus. 260 00:25:54,960 --> 00:25:59,940 Maybe all you want to know, and even that you can find out very quickly is does a virus need sugars to survive or not? 261 00:26:01,020 --> 00:26:05,099 Oh, I never finished that question. Why do viruses need it? Obviously, one one reason is twofold. 262 00:26:05,100 --> 00:26:11,460 The envelope like proteins, and that's where we attack it. The other reason is they cover themselves in this code of sugars because that. 263 00:26:11,560 --> 00:26:19,510 Is there little code that makes them evade the immune system so they can hide themselves in a code of sugars? 264 00:26:19,510 --> 00:26:26,829 Because the sugars for us look like cells because we, after all, put them onto these viruses, that this is a big reason why viruses need sugars. 265 00:26:26,830 --> 00:26:30,309 So camouflage as a camouflage. So they need it for two reasons. 266 00:26:30,310 --> 00:26:32,080 They need to fold properly. 267 00:26:32,080 --> 00:26:39,370 And if you prevent them from folding properly, they are often non-infectious or less infectious and they can't mutate around it. 268 00:26:39,700 --> 00:26:46,209 Yeah, so I lost my well, I think you've brought us because we've now mentioned COVID several times. 269 00:26:46,210 --> 00:26:50,980 I think I'm going to take yeah, vaccines the most important but we should not neglect. 270 00:26:51,070 --> 00:26:58,059 Yeah. Also trying to find a drug and the dream would be to have something already there that no matter what virus comes around the corner, 271 00:26:58,060 --> 00:27:04,030 you could give it safely because you would have done all the toxicity studies before and with all the time in the world there is. 272 00:27:04,030 --> 00:27:09,220 So you don't have to have this panic and this rush at the time and it's too late. 273 00:27:10,000 --> 00:27:13,120 So we've got to the point where I ask you, as I've asked everybody, 274 00:27:13,930 --> 00:27:19,900 can you remember when you first heard about SARS-CoV-2 and if there was something happening in China? 275 00:27:19,930 --> 00:27:22,750 Yeah. And that it might be quite serious. 276 00:27:22,840 --> 00:27:32,560 I remember that very well because my birthday happens to be on the 31st of December and I love Venice and I had a bit of a birthday party in Venice. 277 00:27:33,250 --> 00:27:38,410 And of course, Venice turned out to be the epicentre of the European first cases coming over. 278 00:27:39,730 --> 00:27:45,940 And yeah, so I was in Venice when I heard that I think on the 21st of December when there was, 279 00:27:46,120 --> 00:27:52,419 you know, chatter on the radio about this, we didn't take it seriously at that time. 280 00:27:52,420 --> 00:28:01,600 I didn't, I would not expected it to be like this and yeah, and we flew home, went back to work. 281 00:28:02,800 --> 00:28:07,660 When did I really start thinking that was serious? Maybe. Yeah, first half of January. 282 00:28:08,710 --> 00:28:15,790 And. And when did you and your colleagues decide that it was time to drop everything and focus your attention on? 283 00:28:16,000 --> 00:28:23,470 I think immediately at that point, I remember when there was a first talk about all the department would have to close down. 284 00:28:24,610 --> 00:28:30,910 I thought, surely not to virologist, that's a long time. We can maybe do something useful for a trying. 285 00:28:33,320 --> 00:28:36,639 And I remember thinking about all the practical issues, 286 00:28:36,640 --> 00:28:44,980 but because we were also supposed to move from like a biology institute which had been our home for, in my case over 20 years to this new building. 287 00:28:45,580 --> 00:28:48,940 So all of this was going on, the plan move. 288 00:28:50,230 --> 00:28:57,790 And I said to my group, I remember that. I said, You know, guys, if they close this down, this will be many, many, many, many months. 289 00:28:58,120 --> 00:29:03,489 And my group didn't believe it, you know, and we made this little bet, you know, it's on on a few weeks we'll back on the council, sat down and said, 290 00:29:03,490 --> 00:29:11,230 no, I said, we will never be back before I think I guessed September or something, which at the time sounded absolutely outrageous. 291 00:29:12,460 --> 00:29:16,120 But I thought if this is for real, then yes, we will be closed for a long, long time. 292 00:29:16,270 --> 00:29:25,690 But I didn't know how bad it would get. So at that point we were thinking about what we could do if we were allowed to work. 293 00:29:25,690 --> 00:29:34,030 And I have to say that our head of department, Professor Francis Barr, was incredible when it came to making it possible for us to continue working. 294 00:29:34,030 --> 00:29:37,510 You know, we got letters from him saying these are the essential workers. 295 00:29:37,930 --> 00:29:41,500 They have to continue work or they should be allowed to continue working. 296 00:29:42,070 --> 00:29:46,760 The thing is that the biochemistry department isn't that well set up for doing these kind of experiments. 297 00:29:46,760 --> 00:29:52,210 We don't have these viral hoods or this containment level up that we need for something like SARS Cov two. 298 00:29:53,230 --> 00:29:57,879 And so what I normally do in my normal life are main viruses at the time dengue virus. 299 00:29:57,880 --> 00:30:03,550 So these are bloodborne viruses. They are also containment level three viruses. 300 00:30:03,550 --> 00:30:08,950 And in fact, dengue also happens to be a schedule five virus, one of these terrorist list viruses. 301 00:30:09,550 --> 00:30:15,910 But our rooms where we work routinely are more and so are in the middle of our building just across the road. 302 00:30:16,300 --> 00:30:25,090 And again, the director there, Professor Paul Kleinerman, incredibly helpful and would do anything to help anybody who's also a clinician. 303 00:30:25,090 --> 00:30:30,010 So he was already, I think, knowing what was coming their way and he knew that it would be very busy, 304 00:30:30,010 --> 00:30:35,440 but he immediately said he would help and make sure that you can work, which was just fabulous. 305 00:30:35,440 --> 00:30:40,720 And then it was actually the done school to have a containment level three. 306 00:30:41,290 --> 00:30:46,090 And that was very much as far as I know, started by Professor William James. 307 00:30:46,840 --> 00:30:49,600 And of course, we know each other. We all know each other. 308 00:30:49,600 --> 00:31:01,020 So he contacted me quite early on in March, I want to say, and said, look, you know, we have these we try to turn this into code up. 309 00:31:01,020 --> 00:31:05,890 He try to get the virus from colleagues. I live in Glasgow and eventually I think you got it from South Africa. 310 00:31:07,030 --> 00:31:10,570 And he wasn't he. 311 00:31:11,540 --> 00:31:16,069 I hope I say this correctly, but he wasn't that much interested in the drug development part, 312 00:31:16,070 --> 00:31:21,320 but he was more interested in screening antibodies because obviously people try to get biologics going on, 313 00:31:21,320 --> 00:31:29,120 antibodies going, and we knew very quickly that we would be absolutely overwhelmed by the demand for this. 314 00:31:29,630 --> 00:31:35,090 And so early on, he said. Nicole, would you like to take care of anything to do with drug screening? 315 00:31:35,540 --> 00:31:42,050 And we do anything to do with antibodies and antibody screening and maybe get involved in the vaccine trials and so on. 316 00:31:42,410 --> 00:31:46,340 And of course, that is where naturally our interests fall. It makes total sense. 317 00:31:46,340 --> 00:31:54,229 And so I was incredibly glad that you allowed us in because what was a problem was a scarcity of resources. 318 00:31:54,230 --> 00:31:59,830 And by that I mean hoods. I think for the first months, a few months, we had only two tools in all of Oxford. 319 00:32:00,160 --> 00:32:04,700 We could do this kind of high tide to SARS-CoV-2 work in. 320 00:32:05,570 --> 00:32:09,110 You can work on it when it comes from patients because it's actually quite low. 321 00:32:09,420 --> 00:32:17,070 And but for our kind of work, we need to grow these viruses up to really high titres and then because then we need to screen the drugs against it. 322 00:32:17,990 --> 00:32:21,110 So it is a slightly different safety issues here. 323 00:32:22,160 --> 00:32:29,030 And so we were allowed to do this and I was incredibly lucky yet again that one of my longest standing workers, 324 00:32:29,030 --> 00:32:32,690 Michel Hill, almost missed me at that time. Over ten years. 325 00:32:32,780 --> 00:32:41,509 She's she actually after this left work in the in the down school, she was trained to very high levels, 326 00:32:41,510 --> 00:32:46,069 not only at blood borne viruses, but also airborne viruses, which is slightly different training. 327 00:32:46,070 --> 00:32:49,280 You have to learn different things, nothing which is unsurmountable. 328 00:32:49,280 --> 00:32:57,380 So she very quickly trained up my group, the people who were virologists in my group and trained them up to do this. 329 00:32:57,590 --> 00:33:07,340 And yeah, they started screening for four drugs in the Dunn School and later on Pokeno and made available a room 330 00:33:07,340 --> 00:33:12,470 out in the middle of all so we then could move our antiviral drug screening into the Medawar building. 331 00:33:12,620 --> 00:33:17,120 We got internal COVID grants within as well. Took it out that that lab was wonderful. 332 00:33:17,120 --> 00:33:23,090 I've got to I've got to. You go ahead. I've got to. QUEST Because otherwise I think it was well, first of all, it's. 333 00:33:23,150 --> 00:33:27,950 So what was your what was your plan? What what what was it that you absolutely do? 334 00:33:28,220 --> 00:33:33,110 So as you know, normally so the plan was there is no drug against this virus. 335 00:33:33,560 --> 00:33:37,910 What do we do normally to develop a new drug takes between 10 to 15 years. 336 00:33:37,910 --> 00:33:46,670 We don't have this time. So all we could do was to start screening already approved drugs, so so-called repurposed drugs. 337 00:33:47,450 --> 00:33:54,589 And if none of them were to work, then slowly work our way down to drugs that were in phase three, somewhere in phase two, 338 00:33:54,590 --> 00:33:59,990 somewhere, you know, drugs that could possibly be approved much faster than little early beginners drugs, 339 00:34:00,140 --> 00:34:08,600 you know, And because we had so we wanted to start Exactly that was an algorithm you know whatever people so getting 340 00:34:08,600 --> 00:34:13,520 excited yet again because that was obviously our lifeblood and we were all talking the whole time. 341 00:34:13,520 --> 00:34:21,490 It was very intense. What do we do? What can we do? What can we meaningfully contribute to this worldwide effort given that we had only two hoods? 342 00:34:22,580 --> 00:34:26,660 We are we were the opposite of a high throughput screen. 343 00:34:27,140 --> 00:34:32,530 We hoped we knew that the people in the world who could do this, that's like, for example, in Riga, that, 344 00:34:32,540 --> 00:34:38,030 you know, Johan nights the, you know, in life and the highest throughput institutes of this world, 345 00:34:38,330 --> 00:34:40,550 the big ones at Scripps in America, 346 00:34:41,210 --> 00:34:49,160 we knew that they would kick into action and scream but they screen no but but they screamed on, on, on, on Vero Cell. 347 00:34:49,160 --> 00:34:54,620 So these are African green monkey kidney cells. And that is fine because they grow very quickly. 348 00:34:54,620 --> 00:35:01,040 You can do these high throughput screens. But then we want to add something that is useful to the world, right? 349 00:35:01,040 --> 00:35:07,219 So if you can't be fast anyway, if we are slower than all the rest, let's let's add quality rather than quantity. 350 00:35:07,220 --> 00:35:15,380 And so we knew that host cells are incredibly important, you know, determines what cell type you put a virus in and put the drug on. 351 00:35:16,070 --> 00:35:23,750 That makes all the difference. And so we thought, okay, if it can't be fast, we should at least use a lung epithelial cell, human cell type. 352 00:35:23,760 --> 00:35:29,300 So we work with these coloured cells that were given made available to us by let's see more here in oncology. 353 00:35:29,960 --> 00:35:35,540 Very kindly, you just say the name of Glenn C o Khalil three cells. 354 00:35:36,750 --> 00:35:41,140 Carlos. Three slices of human lung epithelial cells. From? 355 00:35:41,160 --> 00:35:44,490 Yeah. Yeah. How do you spell Kelsey et al? 356 00:35:44,500 --> 00:35:52,409 You? Oh, just like it. Yes, yes, yes. I'm trying to remember whether I ever knew what that stood for, but I don't think usually they. 357 00:35:52,410 --> 00:35:55,820 They tend to. Sometimes. Yeah. I don't know. Yes, I don't know. 358 00:35:56,850 --> 00:36:03,239 Um. And so we got these cells, end of March already. 359 00:36:03,240 --> 00:36:07,570 We had all the paper work again. Michelle Hill was incredibly essential for that. 360 00:36:07,590 --> 00:36:11,760 Together with William James and his group in the Dunn School, they made all of this possible. 361 00:36:11,760 --> 00:36:17,370 Just starting a lab, proving that you are proving that you can work in it and that level. 362 00:36:17,420 --> 00:36:27,450 I spoken to Becky. Oh, good. Yeah, that was. Yes, they seemed like Becky, but she was incredibly instrumental in this. 363 00:36:27,480 --> 00:36:30,090 And from my side of was Michelle Hill. So these two work together. 364 00:36:30,090 --> 00:36:35,820 Did all the soaps, all the protocols, make sure we were obviously safe and adhering to all the rules, 365 00:36:37,050 --> 00:36:42,150 which sometimes struck us as a little bit odd, I have to say, because we obviously were surrounded by COVID. 366 00:36:42,150 --> 00:36:49,380 When you just go outside and then in this lab we were, you know, but, you know, that's life and that's how it should be. 367 00:36:50,280 --> 00:36:53,879 So I losing my track. 368 00:36:53,880 --> 00:37:00,180 So yeah, me too. Just talk about. Yeah, So we wanted to have quality, so we wanted to have more physiologically relevant cell types. 369 00:37:00,960 --> 00:37:05,910 Then we asked all our colleagues in Oxford, I got in touch with Helen McShane, 370 00:37:05,910 --> 00:37:11,670 with, uh, Duncan Richards, with some people, with Peter Horby, who did the trial. 371 00:37:11,670 --> 00:37:18,600 And we said, Look, if you have anything that you think you want to screen and you want to have a quick look and see in the cells, 372 00:37:18,600 --> 00:37:24,210 whether it does anything against this virus, let us help you. And the other way round, we wanted to inform them if we had something interesting, 373 00:37:24,330 --> 00:37:29,260 but at the end of the day, more often than not, we ruled out drugs rather than in. 374 00:37:29,640 --> 00:37:34,560 But if you ask me, like was any other scientific result, the ones that don't work are just as important. 375 00:37:34,560 --> 00:37:40,130 Because if you waste all your time screening hydroxychloroquine, say, you know, far fetched example, right? 376 00:37:40,350 --> 00:37:44,190 Then you have wasted the time for drugs that could have had a better chance. 377 00:37:44,190 --> 00:37:45,540 So yeah, 378 00:37:45,540 --> 00:37:53,180 So I was in touch with these clinical committees and we would chat and we had a lot of ideas and I don't know whether they were ever followed up on. 379 00:37:53,190 --> 00:37:59,400 I had an McShane set that there was a GP and again, her name escapes me just now sadly. 380 00:38:00,030 --> 00:38:05,280 Who was interrogating GP databases? Are there other drugs that people anyway take for something else? 381 00:38:05,970 --> 00:38:09,030 And then statistically they just happened to get caught? 382 00:38:09,420 --> 00:38:13,020 Not that often or maybe worse, you know, the worst case scenario. 383 00:38:13,920 --> 00:38:18,480 And so we would we would report back to them. That was. Julia Hipsley Was it? 384 00:38:19,350 --> 00:38:22,830 Yes. Yeah, it was. Talked to her, yes. Wonderful. 385 00:38:23,580 --> 00:38:31,120 So yes, exactly. Yeah. But in the end, long story short, by now I just checked the web page disastrous. 386 00:38:31,140 --> 00:38:39,390 So then the other added value was we didn't want in the whole world, the resources was a bottleneck for screening. 387 00:38:39,390 --> 00:38:42,870 We didn't want other labs to have to redo screens as they already were done. 388 00:38:43,260 --> 00:38:48,270 So if you do this just in your little locked away lab, you know, 389 00:38:48,270 --> 00:38:55,919 you waste a lot of resources worldwide at the same time on that from Delft and her group with to undergo and 390 00:38:55,920 --> 00:39:01,260 least become ill they all helped us setting up the SA structure web page because we were busy screening, 391 00:39:01,260 --> 00:39:05,610 you know, and they were fantastic. It was a web pages and on that it's just that way inclined. 392 00:39:05,610 --> 00:39:12,209 It's amazing. You know, she's she wants to share. She wants to make sure it's out there that people don't waste their own resources. 393 00:39:12,210 --> 00:39:15,060 We're doing something we already disproved or maybe said it was good. 394 00:39:16,500 --> 00:39:22,740 So we started the SA strike as all their group would mine the literature for everything that was published, 395 00:39:22,950 --> 00:39:25,290 so we would know what other people already screened. 396 00:39:25,290 --> 00:39:30,690 So we, we basically our decision tree, what we would screen was is it already approved that would be screened first. 397 00:39:31,290 --> 00:39:33,120 It could be immediately repurposed if it worked. 398 00:39:33,810 --> 00:39:38,610 Ideally, it would be generically available off patent because we wanted something that could be very quickly, 399 00:39:38,610 --> 00:39:42,360 very cheaply produced to help maybe the whole world, not just, you know, 400 00:39:42,360 --> 00:39:47,370 the ones who could afford it and then down the, you know, clinical development path. 401 00:39:47,820 --> 00:39:51,930 And so they scoured the literature and they would update the source tracker, 402 00:39:52,170 --> 00:39:55,979 I think at the time, at least weekly, if not daily, and we would do the same. 403 00:39:55,980 --> 00:40:01,620 We would actually physically screen the drugs and our all our results would be out on the SA strike. 404 00:40:01,830 --> 00:40:11,340 So the kinds of things I neta were looking for, they'd been screened possibly just through some kind of computational process or at that at that time. 405 00:40:11,700 --> 00:40:15,809 So at that time, at that time we're now talking March April that you actually started this. 406 00:40:15,810 --> 00:40:23,880 At that time the Moonshot Program consortium hadn't arrived yet at their first, 407 00:40:24,090 --> 00:40:33,719 so they started having their fragment based screens in March and the first compounds that they had available for us to screen was around June time. 408 00:40:33,720 --> 00:40:39,990 Oh, right. Okay. So we were ready and we had screened, so we thought we were really very I'm. 409 00:40:40,040 --> 00:40:50,359 Biased and very fair. Even our own drugs, which we were dying to test, we d prioritised because they were not yet approved. 410 00:40:50,360 --> 00:40:53,659 Right. So they all were in a queue and I checked on that. 411 00:40:53,660 --> 00:40:56,450 Of course we will help the moon. That's what we want to do. 412 00:40:56,690 --> 00:41:04,339 But the moonshots have to be in the queue and for them that was the lowest of the low because this was a totally unknown and you know, 413 00:41:04,340 --> 00:41:09,979 the very early starting point. But I also said, you know, if we are getting faster and better, 414 00:41:09,980 --> 00:41:15,620 by the time you have those treatments ready, maybe you anyway won't have to wait in the event. 415 00:41:15,620 --> 00:41:16,670 That's exactly how it would happen. 416 00:41:16,680 --> 00:41:22,879 We were through with everything we could have screened By the time the moonshot on the Moonshot Consortium had their first things, 417 00:41:22,880 --> 00:41:28,850 they wanted to ship to us. And so we and the other algorithm we had is like, Can we get to these drugs? 418 00:41:29,090 --> 00:41:32,470 Honestly, that was a very pragmatic point. Like, can we get distracted? 419 00:41:32,600 --> 00:41:35,330 And we got an internal COVID 19 grant. 420 00:41:35,360 --> 00:41:43,490 I think in the first round I just asked for money to buy all the drugs I could buy to screen, and I got that money of university fund. 421 00:41:43,520 --> 00:41:46,610 That's right. That's like from donors. That's right. 422 00:41:46,760 --> 00:41:51,380 Exactly. So from that first money I bought all at the time there was a paper published. 423 00:41:52,420 --> 00:41:56,360 Krogan was a senior researcher and they had already done a screen and said, 424 00:41:56,720 --> 00:42:00,380 These are all I was so interested because they also looked for host targeting as well. 425 00:42:00,590 --> 00:42:07,250 And he said, These are all the proteins that somehow change when there's a SARS-CoV-2 infection and all these drugs, 426 00:42:07,970 --> 00:42:11,990 all the ones that were available to buy on the open market, we bought in and screened. 427 00:42:12,440 --> 00:42:16,270 But yeah, even our own I mean, it sort of had to wait until it was a ton and, 428 00:42:16,410 --> 00:42:22,700 and it is two of the moonshot companies had to wait but we could screen them all eventually. 429 00:42:23,510 --> 00:42:28,100 We have never stopped screening moonshots and Moonshot, as you may or may not know, has continued very well, 430 00:42:28,100 --> 00:42:36,530 and we're ever closer to our clinical trial, I hope, and ours, when it was our turn to screen the initial us. 431 00:42:37,340 --> 00:42:43,430 By that time we had also all the variants of concerns which we also had all gotten into the screening lab. 432 00:42:43,440 --> 00:42:54,080 So we had the original strains altered, Delta and Micron and all the other ones, the Brazil strain and so on and the immune issue, 433 00:42:54,090 --> 00:42:58,040 this work against all of them, you know, not just against the original, against all of them. 434 00:42:58,040 --> 00:43:01,040 So exactly what we would have hoped is true. 435 00:43:01,610 --> 00:43:09,259 And that came out about. Yeah. And I also like the timing of this, this so-called single high dose paper that we published. 436 00:43:09,260 --> 00:43:13,280 You know, I had submitted that in January 2020. 437 00:43:13,520 --> 00:43:20,030 It came out in March. So we didn't know about COVID, but we submitted, wrote the paper, we didn't know. 438 00:43:20,330 --> 00:43:29,470 And I wrote in the discussion, this is what you need when whenever there's a pandemic, you know, and I just can't believe it, you know that. 439 00:43:29,480 --> 00:43:31,040 And then there was certainly a pandemic. 440 00:43:31,280 --> 00:43:41,330 But yeah, we were to be honest, at the beginning, I thought, okay, if not now, when, you know, when will they allow us to try a host targeting? 441 00:43:41,570 --> 00:43:45,080 But I didn't happen. It didn't happen. 442 00:43:46,310 --> 00:43:53,180 Of course, the world had had, you know, in a panic or in an emergency, you don't try out new things. 443 00:43:53,180 --> 00:43:59,540 You know, everybody does what they do best, understandably. And that's not when you try out a new strategy, I guess. 444 00:44:00,110 --> 00:44:04,399 But I just don't want to miss, you know, even when I lecture virology, 445 00:44:04,400 --> 00:44:08,650 like for the last 15 years, you know, I always said, oh, we need a host targeting percent. 446 00:44:08,810 --> 00:44:13,250 But my first slide always would say, because that's what you need to be prepared if there's a pandemic. 447 00:44:13,250 --> 00:44:17,750 And of course, nobody takes that serious in all honesty, including myself. 448 00:44:17,750 --> 00:44:22,040 You know, you say these words and you say, yes, look at it. The intervals get smaller and smaller. 449 00:44:22,820 --> 00:44:28,130 You know, it is not a question only sentence. It's not a question of if, but when it comes. 450 00:44:28,640 --> 00:44:32,450 But do we really believe it the second we say it? I don't think we ever did. 451 00:44:32,900 --> 00:44:35,050 And now I look at this licensing, of course. 452 00:44:35,270 --> 00:44:42,049 So but of course, I'm not saying why did nobody listen, because that is in human nature, including my own. 453 00:44:42,050 --> 00:44:52,010 You know, you before the pandemic, you write this as like your unique selling point when you're trying to attract maybe grant funding or new strategy, 454 00:44:52,340 --> 00:44:58,610 but now just feels just so much more real. You know, you look at you said you just looked at the numbers. 455 00:44:58,610 --> 00:45:09,620 So how many How many? Yes. So why now? We have screens and things that I remember that, uh, 1834 entries in the South America. 456 00:45:09,680 --> 00:45:16,129 Yes. Yes. So we are now we have obviously stopped all but the moonshot ones now. 457 00:45:16,130 --> 00:45:18,890 So we're only screening moonshots compounds now. 458 00:45:19,520 --> 00:45:24,499 And this is all around the clinical needs that we have just too, because they are constantly trying to improve. 459 00:45:24,500 --> 00:45:35,210 And so we're constantly screening them. And how many of them have turned out to be a promise to to pursue further of the moonshots or just generally? 460 00:45:37,340 --> 00:45:42,389 Well, I think all the ones that actually made it into the. They didn't possibly, in all honesty, 461 00:45:42,390 --> 00:45:48,450 made it into the clinic because of this all strike at a cost to the the ones that were really needed, like remdesivir and so on. 462 00:45:49,530 --> 00:45:57,270 And and thanks, Senator. Thank you. Peter Hall We had already done Inhumans, so basically he had done the much more relevant study first. 463 00:45:57,430 --> 00:46:03,060 Right. So I can't I can't tell you whether anybody took this serious apart from us, 464 00:46:03,270 --> 00:46:06,990 you know, whether anybody said, oh, you know, maybe that's the one we will use. 465 00:46:07,000 --> 00:46:15,510 I don't know. I hope you prevented lots of people to waste a lot of resources, energy, what, as you say, excluding you, Excluding to. 466 00:46:15,640 --> 00:46:22,800 Exactly. Yes, yes, yes. And you never know. I mean, we didn't know whether we would find that one thing that, you know, you always hoped, you know. 467 00:46:23,460 --> 00:46:32,120 But. Yeah. And you say, but you did get a that although it hasn't gone on to be used in the clinic, you did get a positive result from the illness. 468 00:46:32,420 --> 00:46:36,380 Yes. So were you also pursuing that as a research? 469 00:46:36,560 --> 00:46:43,820 Very actively, Yeah. That's I mean, that has been my research before the pandemic and even more so now. 470 00:46:43,820 --> 00:46:51,490 And I really do not want to sound glib, but I did exactly what I thought I would do against the original virus, against all the variants of concern. 471 00:46:51,500 --> 00:46:55,310 That is the beauty of a host targeting and the initial approach. 472 00:46:56,040 --> 00:47:02,870 And once one variant, once I knew would work against the original strain, I knew it would work against all the escape. 473 00:47:03,080 --> 00:47:09,559 But it's not escape. These variants of concern, obviously, that try to get around, say, the rolling out vaccines, you know, 474 00:47:09,560 --> 00:47:17,720 and vaccines, even the the newer platforms, as they have RNA vaccines, they can switch very fast. 475 00:47:17,730 --> 00:47:21,620 That can make a new vaccine very, very quickly that just, you know, switch. 476 00:47:22,490 --> 00:47:28,910 And but even though, you know, it takes a few months, you know, the new virus arrives, you have to look at this even that. 477 00:47:28,910 --> 00:47:31,430 You have to make a new M RNA vaccine, blah, blah, blah there. 478 00:47:31,430 --> 00:47:39,170 Whereas this is there, the drugs that to say on day one will work against it until the last viruses got hopefully gone, you know. 479 00:47:39,740 --> 00:47:47,570 And so I just think it is such a worthwhile strategy to pursue and I and we suppose you would and we will continue to pursue it. 480 00:47:47,720 --> 00:47:57,200 So at the moment we are trying to get funding for a phase one clinical trial for what we call the single high dose approach against what. 481 00:47:57,230 --> 00:48:05,270 And so we decided as the most likely because of the patient availability, more often than not, it's very difficult to power a dengue trial. 482 00:48:05,840 --> 00:48:14,870 So we will go for influenza and or against a COVID human challenge in a cold human child study, 483 00:48:15,500 --> 00:48:21,260 because then we know exactly that's when when they get COVID and we give it, you know, 8 hours later, 10 hours later, 484 00:48:21,270 --> 00:48:25,849 whatever, and we see whether we can prevent symptoms again, 485 00:48:25,850 --> 00:48:35,450 clinical endpoints is is is difficult because obviously you you don't let these poor people die in the clinical and Human Challenge study. 486 00:48:35,870 --> 00:48:44,000 So, yes, I think it will be most like in influenza trial because we know we have tens of thousands of people dying of influenza every year and. 487 00:48:46,690 --> 00:48:51,110 Nobody talks about it. And what are the obstacles? 488 00:48:51,360 --> 00:49:01,010 Because the lab work looks so encouraging. And obviously all the you know, the the philosophical theoretical approach seems absolutely bang on. 489 00:49:01,020 --> 00:49:05,510 So what about the obstacles? What? Who are they? Yeah, that's how you do it. 490 00:49:05,520 --> 00:49:11,729 I don't know. I know it's funny. I often say do I portrayed wrongly because you say it's all bang on. 491 00:49:11,730 --> 00:49:15,060 But obviously that's not what the regulatory people think. 492 00:49:15,630 --> 00:49:21,270 Obviously, that's not what most companies think, what most drug developers think. 493 00:49:21,600 --> 00:49:25,049 And I never know. Is it is it a groupthink? 494 00:49:25,050 --> 00:49:35,310 Is it because it all came through the direct acting? Is it is it that we only tried not as personally the company we work together 495 00:49:35,310 --> 00:49:40,230 was at the time emergent biosolutions they they failed And I and the FDA, 496 00:49:41,280 --> 00:49:48,780 they I don't know all the ins and outs but they were asked to come back with more results. 497 00:49:49,440 --> 00:49:51,990 They did a phase one for the three times daily. 498 00:49:52,140 --> 00:49:56,400 They were allowed to proceed to phase two, but they stopped it at the time because the pattern was running out for them. 499 00:49:56,400 --> 00:49:57,300 It wasn't as wild. 500 00:49:57,990 --> 00:50:05,550 And so we don't care for the patents, you know, together with Professor Dweck, I would be helpful if we can get a generic, very cheap drug out there. 501 00:50:05,880 --> 00:50:08,190 For me, it's quite nice that the patents are running out, you know, 502 00:50:08,190 --> 00:50:14,549 so and we could make it in large quantities and it's and I believe it is very safe. 503 00:50:14,550 --> 00:50:20,370 We just need to need to know now because we really don't how high we can go and should go and humans. 504 00:50:26,870 --> 00:50:29,299 So we're trying to get that money. Who are they who prevent us? 505 00:50:29,300 --> 00:50:34,480 Well, at the moment we're trying to find the money to make GMP material, not have a commercial partner at the moment. 506 00:50:34,550 --> 00:50:39,470 At the moment we don't. And we are in discussion with several potential partners. 507 00:50:40,400 --> 00:50:46,610 But at the moment we don't know. As I said to you, we haven't run out of options yet. 508 00:50:47,480 --> 00:50:50,240 So there's the funders and then there's the regulatory bodies. Yes. 509 00:50:50,240 --> 00:50:58,540 And my problem, honestly, I think one of the problems is I am not a translational clinician, so I'm here to binge. 510 00:50:58,550 --> 00:51:02,600 I'm pushing it further towards translation than most Spanish based scientists do. 511 00:51:03,080 --> 00:51:06,310 And then there are people like Annette, and that's why this is so fantastic. 512 00:51:06,370 --> 00:51:07,219 If you happen to know what you know, 513 00:51:07,220 --> 00:51:14,720 then friends who kind of are exactly in that gap because she is a medic and she knows how to get something from here to then into the clinic. 514 00:51:15,140 --> 00:51:20,810 And this is this not very densely populated area where very few experts are. 515 00:51:21,080 --> 00:51:29,330 And the ones that exist, like the clinical developers, they tend to be all on the ace. 516 00:51:29,660 --> 00:51:37,549 And I said, you know, Annette, we need to find somebody who just gives us a very unbiased idea what a clinical study has to look like. 517 00:51:37,550 --> 00:51:37,760 You know, 518 00:51:37,760 --> 00:51:45,680 surely you have to tell us how an experiment has to look like or a clinical trial has to look like all the pre-clinical trials have to look like that. 519 00:51:45,680 --> 00:51:49,040 You feel comfortable enough as a clinician to take this further. 520 00:51:50,000 --> 00:51:53,329 And we have sent us to various, I think, 521 00:51:53,330 --> 00:52:05,510 two or three of such consultants who where we explained and the answers we are getting back ranged from why do you bother? 522 00:52:05,510 --> 00:52:10,030 We have oseltamivir you to 2 to 2. 523 00:52:10,580 --> 00:52:16,700 This is dangerous, this is horse targeting. And yeah, I think the fold is on our side. 524 00:52:16,880 --> 00:52:26,310 The education, the explanation. I have to just become much more patient and explain much better why I think 525 00:52:26,310 --> 00:52:31,730 this is a good idea rather than assuming that everybody thinks they get it. 526 00:52:31,730 --> 00:52:36,629 So maybe I'm saying it wrongly, you know? Yeah, I think I need to possibly go out there more. 527 00:52:36,630 --> 00:52:44,220 And but I remember when I first talked about it, my first postdoctoral conference, I was a young postdoc in 1999. 528 00:52:44,270 --> 00:52:51,480 I was in Italy and they had almost the equivalent of pulled me off the stage when I dared to say, 529 00:52:52,260 --> 00:52:56,370 we are we are trying to take this and, you know, inhibit these enzymes. 530 00:52:57,990 --> 00:53:04,120 And this was an HPV audience, and it was possibly one of my worst conference experiences I had. 531 00:53:04,150 --> 00:53:07,350 And of course, I was also young and I was an easy target. 532 00:53:07,890 --> 00:53:12,030 Things have changed slightly. But that wasn't encouraging. 533 00:53:12,120 --> 00:53:19,440 Mm hmm. So you mentioned earlier that this kind of drug is already in use and licensed for girls to see. 534 00:53:19,470 --> 00:53:25,200 Yes. Just explain a bit more. What is this disease And and do the people who are taking it. 535 00:53:25,680 --> 00:53:30,750 Yes. And benefiting also suffer side effects and does because you've gotten a sample? 536 00:53:30,790 --> 00:53:31,750 Yeah. Yeah, of course. 537 00:53:31,990 --> 00:53:43,500 It's the problem is that example is not a is a fraud example is that the level of drug you need to be efficacious against that disease are much lower. 538 00:53:43,680 --> 00:53:46,979 And that's where we started with our antiviral drug is three times daily. 539 00:53:46,980 --> 00:53:53,580 I think they take 200 packet per day, these patients for many, many years at that level. 540 00:53:54,690 --> 00:53:59,969 Against some viruses you can be antiviral but not against the ones we really want to talk about. 541 00:53:59,970 --> 00:54:06,630 You need to go higher than that. And disease is a it's an inherited condition. 542 00:54:07,240 --> 00:54:12,210 Uh, yes, you've got your ex front. 543 00:54:12,330 --> 00:54:15,450 It's not, but it's a lysosomal storage disease. 544 00:54:15,840 --> 00:54:22,800 So the glycol lipids in the glycol pathway, there's an enzyme that also, uh, deals with glucose while ceramide. 545 00:54:23,010 --> 00:54:26,879 So it recognises glucose and binds to glucose was a bit of a fairytale. 546 00:54:26,880 --> 00:54:35,280 So exactly what alter binds to immuno sugars And it is a substrate reduction therapy whereby you meaning sugar, 547 00:54:35,610 --> 00:54:42,900 inhibits that enzyme, you just make less of the product that is building up in these patients and causes the storage disease. 548 00:54:43,380 --> 00:54:52,290 So it's a substrate reduction therapy and the own and, and it's very comparably quite cheap because the only other, uh, 549 00:54:52,320 --> 00:54:58,139 therapy for that disease is an enzyme replacement therapy whereby you give working 550 00:54:58,140 --> 00:55:02,840 copies of the enzyme that is faulty and it is an inherited disease in those patients. 551 00:55:03,600 --> 00:55:10,259 Yeah. So immune to sugars invading is out the middle start it's called and it's been in patients for a long, 552 00:55:10,260 --> 00:55:16,799 long time and there are no these kind of toxicity issues to to worry about. 553 00:55:16,800 --> 00:55:25,230 Of course this is also a patient population that already has a totally different kind of and yeah weaknesses to stop this. 554 00:55:28,090 --> 00:55:33,840 Hmm. Yeah. You can't use them as saying, Oh, look, it's safe because we would have to go higher. 555 00:55:34,110 --> 00:55:37,330 We need to prove it's it's safe at higher levels. 556 00:55:37,350 --> 00:55:41,969 Having said that, when I started work on viruses, I worked on these long chronic viruses, hepatitis C, 557 00:55:41,970 --> 00:55:48,000 But as we I gave that one up at some point working with dengue and all this acute virus, 558 00:55:48,000 --> 00:55:53,370 because I was thinking, everybody always tells me the side effects are the problem. 559 00:55:54,870 --> 00:55:58,229 Then the longer you have to be on that drug, the worse if you have an acute viral infection. 560 00:55:58,230 --> 00:56:04,920 Dengue. Five days done. If you only have to give a drug for five days, maybe. 561 00:56:04,920 --> 00:56:11,040 And it might sound very naive, but maybe you can get away with, you know, shorter tox studies. 562 00:56:11,040 --> 00:56:15,990 Everything is also cheaper. But also you don't put this onto an organism for that long. 563 00:56:32,480 --> 00:56:39,620 Just like the penicillin experiments. So I thought that surely if that doesn't convince people that I really don't know what, 564 00:56:40,340 --> 00:56:45,470 but I know I'm obviously biased, but maybe I'm allowed to be biased because I have input. 565 00:56:45,740 --> 00:56:49,840 Putting 20 years of my my life and energy and love into this. 566 00:56:50,190 --> 00:56:54,230 Yes. Yes. Yeah. Yes. So go going. 567 00:56:55,010 --> 00:56:58,850 Moving on to your personal experience of working through the virus. 568 00:57:00,110 --> 00:57:05,120 How threatened did you feel by the possibility of actually getting the infection yourself? 569 00:57:06,980 --> 00:57:12,970 I don't know why, but strangely, not at all. Because I got it almost immediately at the beginning of it. 570 00:57:13,040 --> 00:57:16,400 We were closing down the lab and everything. I believe I might have. 571 00:57:17,540 --> 00:57:23,510 I know that one of the posters I finished a paper with and his children apparently had it quite early on. 572 00:57:24,260 --> 00:57:30,379 And I think then he became evil. And then I will do so in in March, April 2020. 573 00:57:30,380 --> 00:57:34,100 I had it for the first time, but I was so busy. 574 00:57:34,100 --> 00:57:40,700 Seriously, I was so busy working. That was exactly when we tried to get the screening lab up and running. 575 00:57:41,960 --> 00:57:49,490 And, you know, if you don't feel at death's door, which I didn't and I didn't have enough time to really worry, 576 00:57:49,490 --> 00:57:56,030 but we were on teams with my group all day long, and some of my team members are medics and and they were worried. 577 00:57:56,030 --> 00:58:04,669 And I remember one of my students is also an infectious disease because she sent me by a by post one of these oxygen monitors. 578 00:58:04,670 --> 00:58:06,260 Yes. But I said, try this. 579 00:58:06,260 --> 00:58:13,280 You know, these people could have low oxygen and not really not realised with this oxygen that they ten and all the rest of it, 580 00:58:13,280 --> 00:58:21,859 you know, is important. So I wore this. It's I had COVID twice so that time and then again on July 22. 581 00:58:21,860 --> 00:58:25,249 So I had the original straight ahead Omicron in both case and of course, 582 00:58:25,250 --> 00:58:31,430 vaccinated by the time by that time I had lots of shots in me and totally different 583 00:58:31,970 --> 00:58:36,470 disease progression and both cases totally different and symptoms as well. 584 00:58:36,920 --> 00:58:45,469 So the first time I had it was a scare. I got a little bit scared when so my oxygen levels never were really low, but because obviously it might not. 585 00:58:45,470 --> 00:58:49,610 Obviously I'm living on my own. I'm alone in the house. I. 586 00:58:50,930 --> 00:58:58,190 There was a the lab came up with this incredible support network and I have a dog that needs to get walked. 587 00:58:58,490 --> 00:59:05,330 So I would put by, you know, lay food at the door, walk the dog, check up on me and that oxygen monitor, actually, 588 00:59:05,330 --> 00:59:11,570 that became to the oxygen monitor for the whole family, because they all got but they got really I mean, they got really ill. 589 00:59:12,380 --> 00:59:18,140 I mean, I think no, no, not not hospital ill, but, you know, really blue lips and all that kind of stuff, you know? 590 00:59:18,690 --> 00:59:21,739 Yeah. I can't remember being scared. 591 00:59:21,740 --> 00:59:28,069 I remember I was due to give a COVID conversation and I know I couldn't string two sentences together. 592 00:59:28,070 --> 00:59:31,250 I couldn't remember at the end of the sentence how I had started the sentence. 593 00:59:31,250 --> 00:59:34,400 So I said, I can't give this conversation. And this is the video. 594 00:59:34,520 --> 00:59:38,390 Yes, exactly. And so I gave mine a few weeks later. 595 00:59:39,140 --> 00:59:43,940 So I know that I wasn't quite right because I would not have otherwise cancelled that talk. 596 00:59:45,650 --> 00:59:50,390 And. Yeah, and how so how was your ability to work effective? 597 00:59:50,400 --> 00:59:55,250 So you were I mean, were you once you got over your infection, Where you coming into the lab? 598 00:59:55,580 --> 01:00:00,080 No, I wasn't useful in the lab. You know, I think I would have been a burden. 599 01:00:00,380 --> 01:00:05,570 The people who were at that point, because they had a certain number maximum allowed in the COVID lab, 600 01:00:05,900 --> 01:00:08,300 because I shared it with James and other groups. 601 01:00:09,380 --> 01:00:15,710 We had a time schedule, and you needed two people working at the same time, but I would have just been an extra body. 602 01:00:15,920 --> 01:00:24,319 It does. I don't need to be. I'm not the one pipetting, you know. So I stayed at home very much felt like the bridge of the Enterprise, right? 603 01:00:24,320 --> 01:00:32,510 So if you talk to everybody, you try to get all the the the strings somehow together, make sure that everything runs smoothly. 604 01:00:33,500 --> 01:00:39,100 Obviously, the moonshot kickstarted at the same time for knocking on my door one night and says, Nicole, we will try this. 605 01:00:39,110 --> 01:00:40,759 We'll just ask for crowdsourcing. 606 01:00:40,760 --> 01:00:47,930 We'll do like if we get a compound, can you help us at that time aside from we're just trying to get the the screening up and running. 607 01:00:47,930 --> 01:00:50,990 Of course we will help. I don't know when, but of course we will help. 608 01:00:51,770 --> 01:00:59,960 That started then eventually the the project started the vaccine initiative, an evaluation led by Paul Newton. 609 01:01:01,070 --> 01:01:06,740 And we kept that very, very confidential for the longest time for obvious reasons, 610 01:01:08,000 --> 01:01:16,830 because as soon as there was a need for anything, criminals kick in and pollute and or who used to lead the allows. 611 01:01:17,510 --> 01:01:20,030 Oh, that's a trust saying. Paul Newton, right? Yes. Yes. 612 01:01:20,270 --> 01:01:27,889 So he's now an Oxford based in Oxford and he's leading a medicine quality control group and he had done a lot of work in in pills, 613 01:01:27,890 --> 01:01:32,240 in medicines that come in pill form, but never on liquids, never on something like a vaccine. 614 01:01:32,900 --> 01:01:40,220 And we had worked together. We had a shared dphil student, Amina Bharucha, that infectious disease doctor who sent me the oxygen monitor. 615 01:01:40,850 --> 01:01:45,800 And we had been trying because I came from LA and they knew the problems there, the public health problems, and said, 616 01:01:46,190 --> 01:01:52,069 We just need to find out who here has Japanese encephalitis and who has another fever, 617 01:01:52,070 --> 01:01:55,580 you know, just to inform the public health policies in that country. 618 01:01:55,580 --> 01:01:57,860 So we had started that. So we that's how we knew each other. 619 01:01:58,400 --> 01:02:04,820 We had started a mass spectrometry based biomarker discovery project for Japanese encephalitis. 620 01:02:04,820 --> 01:02:14,660 So when COVID then hit and then new me and he said, Look, criminals are already taking in the first vaccines. 621 01:02:14,660 --> 01:02:19,580 Fake vaccines were sold before the real ones were even available in South America. 622 01:02:20,150 --> 01:02:22,700 And so he said, you have to do something. Can you help? 623 01:02:22,700 --> 01:02:31,669 And he was this amazing ability he has of bringing the right people together and making everybody wanting to work started this consortium, 624 01:02:31,670 --> 01:02:39,620 which to this day the IEEE Vaccine Identity and Evaluation Consortium, a consent to links. 625 01:02:40,760 --> 01:02:49,370 And so that started this Parramatta's sick who is the inventor of um's sauce Ramen special offset Ramen spectroscopy, 626 01:02:49,370 --> 01:02:55,849 the kind of machines you see at any international airport, You know, the ones where you put your breast milk in and see whether it's explosive or not. 627 01:02:55,850 --> 01:03:00,049 He invented that. And so he does this also on Monday for vaccines, 628 01:03:00,050 --> 01:03:06,410 we made we started doing the mass back together with the mass spectrum from Professor James McCullough. 629 01:03:06,410 --> 01:03:15,229 It's a chemistry. So he's involved in this. And Paul offers obviously in this whole medicines quality control group, and he got us in touch. 630 01:03:15,230 --> 01:03:21,049 So we had weekly, several weekly. Teams calls trying to get this off the ground. 631 01:03:21,050 --> 01:03:27,110 And we did again with a philanthropic donations to families. 632 01:03:27,620 --> 01:03:30,860 I think they stayed anonymous and and also the Oak Foundation, 633 01:03:30,980 --> 01:03:36,200 I think a three philanthropic donors and they got us through to Now you're still working on this. 634 01:03:36,200 --> 01:03:47,210 We developed lots of techniques by which we can give hopefully, hopefully machines to inspectors and to those people somewhere out there. 635 01:03:47,480 --> 01:03:50,480 Let it be Africa, let it be, let it be anywhere in the world. It doesn't matter. 636 01:03:50,840 --> 01:03:54,260 How do you know that the thing you're about to inject into somebody is a real thing or not? 637 01:03:55,010 --> 01:03:58,819 And we were very concerned that not to talk about it, 638 01:03:58,820 --> 01:04:08,780 because obviously this is a is a very fine balance to strike between raising public worries and trying to help. 639 01:04:09,560 --> 01:04:15,290 And so all of this, we we kept confidential and we developed lots of techniques, also low cost techniques. 640 01:04:15,290 --> 01:04:22,129 So from the high end spec stuff we did here all the way to supply chain along the supply chain, 641 01:04:22,130 --> 01:04:25,430 things we could maybe techniques we could maybe use in the hops, 642 01:04:25,430 --> 01:04:32,180 in the harbours were shipments arrive all the way down to the nurse GP you might or the pharmacist 643 01:04:32,180 --> 01:04:37,850 who takes it off the shelf how to detect what may or may be a fake or a substandard vaccine. 644 01:04:37,850 --> 01:04:44,360 That's the other problem that can be fakes, a criminal fakes, but they can also be things that were standing on the runway. 645 01:04:44,650 --> 01:04:51,080 Yeah, exactly. Yeah, exactly, exactly. Yeah. So that if you tell them about fake malaria drugs, you to ago. 646 01:04:51,080 --> 01:04:52,220 Years ago. Yeah. Yeah. 647 01:04:52,340 --> 01:05:03,079 So yeah so that is what that that the consortium honestly a consortium of so many so well-meaning people that really got me through the pandemic. 648 01:05:03,080 --> 01:05:08,680 I think that and my own group who were just absolutely fabulous you know this whole screening, they worked 24 seven. 649 01:05:08,810 --> 01:05:13,530 Nothing was too much for them. You know, they would go out of the way. I think they including myself. 650 01:05:13,530 --> 01:05:17,089 You also felt very privileged that it could work because we had news, the other colleagues here, 651 01:05:17,090 --> 01:05:23,479 they couldn't you know, only only things that had to do with sales could continue projects. 652 01:05:23,480 --> 01:05:28,340 And so we were glad that we could work and do something because I think it really hurt. 653 01:05:28,340 --> 01:05:31,600 Mental health. Exactly. That's it. That's one of my questions. 654 01:05:31,850 --> 01:05:38,179 Yeah. Because some of the students in my group who were not on any of so were not trained virologists who are chemists doing something else. 655 01:05:38,180 --> 01:05:44,630 You know, they couldn't come in, you know, and they had a much tougher time of it than the people could just do something, 656 01:05:44,840 --> 01:05:47,240 you know, And even if it's a lot of work, 657 01:05:47,600 --> 01:05:52,700 because none of us could go home, you know, none of us could go home for Christmas or even my my group was quite international, 658 01:05:52,700 --> 01:05:56,170 so we couldn't fly home Christmas we spent here. 659 01:05:56,180 --> 01:05:59,240 You know, we were anyway in a bubble at that point because we were working together. 660 01:06:00,100 --> 01:06:03,150 Yeah, yeah, yeah. 661 01:06:03,890 --> 01:06:08,720 And yes, yes. 662 01:06:10,070 --> 01:06:13,500 Oh yes. They all your working hours. So you talked about working? 663 01:06:14,270 --> 01:06:17,719 Well, I think. Well, I think we all worked way too much. 664 01:06:17,720 --> 01:06:22,040 We worked honestly, it failed. Obviously it wasn't, but it felt like 24 seven. 665 01:06:22,100 --> 01:06:27,229 Yeah, because obviously it wasn't 24 seven, but we were always alert and you just never took a break. 666 01:06:27,230 --> 01:06:32,060 And we're constantly talking. Everybody was talking about what to do next, how to do it. 667 01:06:32,840 --> 01:06:36,080 The early days were more exciting because just how to do it, you know, 668 01:06:36,790 --> 01:06:44,389 I think everybody goes into science at heart as a problem solver and whether it's on the bench, a scientific problem or a very pragmatic problem, 669 01:06:44,390 --> 01:06:47,690 how do I get coloured cells from up there who don't have a nobody's allowed to travel, 670 01:06:47,690 --> 01:06:52,280 you know, everything like this or where are the stores if people send us a drug, 671 01:06:52,280 --> 01:06:58,370 nobody's even here to take these drugs, you know, all these kind of little, little problems to solve. 672 01:06:58,370 --> 01:07:04,520 And we solved all of them. And the group was amazing. My group, Michelle Hill, I mentioned Julie Ball and. 673 01:07:05,650 --> 01:07:09,700 JLP up as a chemist who did all this massive amount of drug dilutions. 674 01:07:09,700 --> 01:07:14,349 You know, Michel, she had a a repetitive stress disorder because they were just honestly, 675 01:07:14,350 --> 01:07:18,220 they were pipetting through and she had to have a frozen shoulder operation, you know? 676 01:07:20,470 --> 01:07:25,030 Yeah, it was. But the group we all, to be honest, we all loved it. 677 01:07:25,270 --> 01:07:32,700 We all were. We all worked together as never before because we all have like ten different projects going on normally and everybody does a little. 678 01:07:32,710 --> 01:07:38,890 Yeah, we all are very active, but this time we felt, Oh my goodness, if we all put our expertise together, 679 01:07:38,890 --> 01:07:41,410 that's what we can achieve, you know, And that's, that's what we did. 680 01:07:41,410 --> 01:07:47,910 And, and did you I mean, I saw from your group website it you, you know, in normal times you do fun things together. 681 01:07:47,910 --> 01:07:51,850 Yeah, sometimes, yeah. Were you able to do any fun things? Well, no, no, no. 682 01:07:51,850 --> 01:07:54,999 We were not allowed to write we were not allowed to do any fun things. 683 01:07:55,000 --> 01:07:59,079 We could have thought maybe on teams. To be honest, I think I, for one, was too exhausted. 684 01:07:59,080 --> 01:08:07,060 I couldn't. I was very exhausted, I have to say. And also, there was a lot of stressful things going on at work as well. 685 01:08:08,560 --> 01:08:12,340 Yeah, it was a very stressful time. I don't think I came out of this very, very healthy. 686 01:08:12,340 --> 01:08:17,800 I have to say mentally, I think I'm very resilient, but that was some of it was too much things that happened with too much. 687 01:08:18,580 --> 01:08:24,250 And did I mean, do you think was there support available if you had access to it or do you think mental health? 688 01:08:24,280 --> 01:08:29,500 Yes. I mean, to be honest, I would typically. Right. I never thought about asking for help. 689 01:08:30,880 --> 01:08:38,650 My group is it's a family at that point anyway, you know, And they were all very supportive of me, of each other. 690 01:08:40,190 --> 01:08:43,340 The pope was good. I'm really, really proud of that. 691 01:08:44,270 --> 01:08:47,450 Are you proud of them? And you've mentioned lots of collaborations with. 692 01:08:47,450 --> 01:08:52,009 Yes. Other people. Yes. Was that a step change from how you would normally be working? 693 01:08:52,010 --> 01:08:57,860 Because I mean, one can see signs sometimes as being a bit more competitive than collaborative. 694 01:08:57,890 --> 01:09:03,530 I know there was our collaborations, but people's priorities to get to paper, written and published and be first. 695 01:09:04,280 --> 01:09:06,550 And didn't get the next grant and yeah, yeah. 696 01:09:06,800 --> 01:09:14,900 But for some people in COVID, it seemed that that went away to a certain extent, and it was very much a collaborative effort too. 697 01:09:14,930 --> 01:09:20,540 I think I want to agree that. I think I have to say that my own group and myself, we're always very open, 698 01:09:20,540 --> 01:09:24,529 very collaborative, and all our stuff was open Science and Moon Shop was open science, 699 01:09:24,530 --> 01:09:31,939 which is not regarded in the same positive light everywhere in the university and in what we did to South Africa. 700 01:09:31,940 --> 01:09:33,200 But it was open. 701 01:09:33,230 --> 01:09:39,889 None of us was in there for IP, and that's actually what we wrote out, you know, is that if you submit something to us, there's no IP. 702 01:09:39,890 --> 01:09:45,590 There's, you know, it's like, you know, you can't. We also didn't want to be used by industry as a cheap screening effort. 703 01:09:45,590 --> 01:09:52,880 Right. And that also caused some some some small rifts. 704 01:09:53,240 --> 01:09:57,590 That's not because not not all scientists were doing that, you know. 705 01:10:01,260 --> 01:10:04,499 But the people I interacted with, it was wonderful. 706 01:10:04,500 --> 01:10:08,290 It was fabulous to see, you know, But I knew them from before. 707 01:10:08,310 --> 01:10:13,920 You know, we all know each other here in this house Parks Road area anyway. And they were doing what they always do. 708 01:10:13,920 --> 01:10:15,370 They stepped up. Mm hmm. 709 01:10:16,110 --> 01:10:24,089 And I just wondered whether that increased level of openness and collaboration might be something that you foresee continuing in the future, 710 01:10:24,090 --> 01:10:27,620 or will it only come into being? Oh, that's a good question. 711 01:10:27,630 --> 01:10:37,230 I think personally, with the groups I work together with never had even before a competitive situation, you know, even before it was never a problem. 712 01:10:37,230 --> 01:10:44,700 So I think friendships were absolutely consolidated and will be even stronger than before. 713 01:10:45,240 --> 01:10:50,610 I would imagine in the same the same coin, 714 01:10:50,610 --> 01:10:58,530 different side is that people that you knew before you might not get along that well with that was also confirmed. 715 01:10:58,950 --> 01:11:06,720 And so. So I don't think I will have a chance to collaborate with some people in this university, and that's okay. 716 01:11:12,890 --> 01:11:18,090 Oh, I know it is. I mean, this old sentence is really true. 717 01:11:18,110 --> 01:11:23,650 I mean, if the going gets tough, the best and the worst comes out and people. 718 01:11:23,660 --> 01:11:29,180 Yeah. And, and and I think we have to all remember that that was a very stressful time for everybody, you know? 719 01:11:29,270 --> 01:11:33,710 For me, the positive definitely definitely one. 720 01:11:34,490 --> 01:11:37,750 And what about the constraints of having to work remotely? 721 01:11:38,150 --> 01:11:45,440 I mean, did that have some advantages? Um, the advantage for me was that I would never have tried it before, you know, this whole team stuff. 722 01:11:45,440 --> 01:11:50,990 And my group is very as you saw on the web page, we've been doing a lot of fun stuff, you know, and that, of course, can't happen. 723 01:11:51,500 --> 01:11:56,750 And I got so used to be at home because I'm certainly working too much anyway. 724 01:11:57,230 --> 01:12:02,090 If I then don't have to commute and my commute is not a long one, you know, it's 30 minutes max. 725 01:12:03,410 --> 01:12:07,879 I work those 30 minutes and I can get more done when I'm at home and not at home. 726 01:12:07,880 --> 01:12:10,940 People don't just pop in and just disturb you. 727 01:12:11,720 --> 01:12:18,620 So I had actually trouble to go back. But obviously here is exactly what I love about my work. 728 01:12:18,650 --> 01:12:26,200 It is that people pop just in that I talk to my group, that they come in with all the problems they want that they would not team me about at home. 729 01:12:26,210 --> 01:12:29,680 You know, I want to hear the big things and the small things, and I want to be part of the. 730 01:12:29,700 --> 01:12:35,269 So I, I can't remember when I started coming back three times a week. 731 01:12:35,270 --> 01:12:43,940 And, you know, I have changed a little bit in that one day a week, usually in Friday's I work from home and I do get much more. 732 01:12:44,620 --> 01:12:52,010 It sounds kind of much more done then, but by that I mean things that need continuous concentration of that long piece of writing. 733 01:12:52,070 --> 01:12:56,510 I have no chance, you know, and I love being here because I like to have people just popping in. 734 01:12:56,510 --> 01:12:59,120 But when I try to concentrate over there on my desk, 735 01:12:59,450 --> 01:13:04,069 I don't know how do have 5 minutes or 2 minutes to have 3 hours and then say, oh, but you had 3 hours. 736 01:13:04,070 --> 01:13:11,030 Yes, but I didn't know whether I would have, you know, So you you never get into this, you know, creative space. 737 01:13:11,250 --> 01:13:15,950 You can just get frozen, you know, just take off my list. 738 01:13:17,570 --> 01:13:22,049 Working from home, I know it's a big problem these days because too many people work from home. 739 01:13:22,050 --> 01:13:25,430 Then there is no community left here in the department. 740 01:13:26,180 --> 01:13:34,430 So there is a there is a people would like people to come back and understand that I'm a your group mostly here. 741 01:13:34,430 --> 01:13:45,400 500 yeah, yeah. Well, most of them never really left and they're all back five days a week, or six or six or seven. 742 01:13:45,710 --> 01:13:49,790 They are all working way too hard. And I try to tell them, Take your holidays and they never do. 743 01:13:49,790 --> 01:13:53,120 And yeah, they're all working way too hard. 744 01:13:53,990 --> 01:13:57,520 So I think we go to the end unless are I was Yeah. 745 01:13:57,590 --> 01:14:05,360 I'm trying to remember to ask this. Yeah. Are there any particular stories that stick in your mind during that time of. 746 01:14:06,460 --> 01:14:10,900 Things you had to do, things that were funny. Things were particularly difficult. 747 01:14:13,630 --> 01:14:16,660 Things you won't forget. There are things I won't forget. 748 01:14:16,660 --> 01:14:20,310 But the one I really won't forget. I don't think I want to talk about it. 749 01:14:20,530 --> 01:14:24,160 Okay. That has to wait for a bit longer. 750 01:14:27,280 --> 01:14:33,760 So has the experience of working through that period changed your attitude or your approach to your work in any way? 751 01:14:34,600 --> 01:14:39,490 You know, before it was often lip service, even by myself when I said that we are doing important work. 752 01:14:39,640 --> 01:14:47,140 You know, as I said, there was never a pandemic. And now it's it's very easy to be a virologist these days. 753 01:14:47,320 --> 01:14:52,480 You know, if you go and give a lecture, everybody knows what you're talking about and everybody has a vocabulary. 754 01:14:52,510 --> 01:14:57,180 All of a sudden, you know. Talk about our just before a pandemic, nobody would know. 755 01:14:57,820 --> 01:15:02,890 And now everybody tells you what's going on, which is really nice, actually. 756 01:15:03,190 --> 01:15:07,620 You know, for all the wrong reasons. Does it changed it? 757 01:15:08,680 --> 01:15:13,389 On one hand, it makes me think I always loved my work anyway, to be honest. 758 01:15:13,390 --> 01:15:20,709 But now it makes me think, yeah, I spent my life on something that was useful and hopefully will be more useful in the future if we 759 01:15:20,710 --> 01:15:25,990 get this post targeting drugs somewhere closer to where they should be or could maybe be tried. 760 01:15:27,280 --> 01:15:34,840 On the other hand, I think it has caused a lot of. I definitely feel much older than two years older. 761 01:15:36,850 --> 01:15:39,120 Definitely much more exhausted. Yeah.