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Dmitry Korkin

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2021-01-11
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2021-01-11
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  1. Yes, to me, it has a lot of meaning about this, something that is happening, something that is far away, but still very close to you. And yes, it's the winter.

    2021-01-11 · Lex Fridman Podcast · #153 – Dmitry Korkin: Evolution of Proteins, Viruses, Life, and AI · IDENTIFIED FROM THE TRANSCRIPT · source

  2. I'll give it a try Billy Yugi, Billy Ziby Billy Engli Naraspati Sapeshi Gradovne Litalia Zavka Atin Varskodov. Adlass Network Cylia Kaldoskoy Gibli Dushi. We'll get off there to Vadminskus with a gladka we begalione dehanagubach.

    2021-01-11 · Lex Fridman Podcast · #153 – Dmitry Korkin: Evolution of Proteins, Viruses, Life, and AI · IDENTIFIED FROM THE TRANSCRIPT · source

  3. So, yeah, so this poem was written by my namesake, another Dmitry. Dimitri Kimmer Feld, and it's a recent poem. It's called Sorceress Vedma in Russian. Actually Caldunya. So that's sort of another sort of connotation of sorceress. I really like it and it's one of just a handful poems I actually can recall by heart. I also have a very strong association when I read this poem with Master Margarita, the main female character, Margarita. And also it's about happening about the same time we are talking now. Around New Year Around Christmas

    2021-01-11 · Lex Fridman Podcast · #153 – Dmitry Korkin: Evolution of Proteins, Viruses, Life, and AI · IDENTIFIED FROM THE TRANSCRIPT · source

  4. I apparently missed a lot spending time with my family. Believe it or not. So you typically with all the research and teaching. And everything related to the academic life, I mean, you get distracted. And so, you know, you don't feel that, you know, the fact that you are away from your family doesn't affect you because you are naturally distracted by other things. And this time I realized that that's so important. Spending your time with the family, with your kids. And so that would be my New Year resolution in actually trying to spend as much time as possible.

    2021-01-11 · Lex Fridman Podcast · #153 – Dmitry Korkin: Evolution of Proteins, Viruses, Life, and AI · IDENTIFIED FROM THE TRANSCRIPT · source

  5. Well, I'm definitely looking forwards becoming normal. So, yes, so I really miss traveling every summer. I go to an international summer school. It's called the School of Malaycar and Theoretical Biology. It's held in Europe. It's organized by very good friends of mine. And this is the school for gifted kids from all over the world. And they're incredibly bright. It's like every time I go there, it's like, you know, it's a highlight of the year. We couldn't make it this August. So we did this school remotely, but it's different. So I am definitely looking for it next August coming there. I also, I mean, you know, one of my personal resolutions, I realized that in house and... Working from home, you know, I realized that actually

    2021-01-11 · Lex Fridman Podcast · #153 – Dmitry Korkin: Evolution of Proteins, Viruses, Life, and AI · IDENTIFIED FROM THE TRANSCRIPT · source

  6. And that to me, I mean, I never experienced anything like this, you know, reading the book, but it was like the connection between you and the author. And I think this is really a must read, but even better, a must listen. To audiobook for anyone who wants to learn about sort of academia, science, research in general. Because it's a very personal account about her becoming a scientist.

    2021-01-11 · Lex Fridman Podcast · #153 – Dmitry Korkin: Evolution of Proteins, Viruses, Life, and AI · IDENTIFIED FROM THE TRANSCRIPT · source

  7. Who's the Honorable Mention? And this is, I mean, the reason I put it sort of in a separate section, because this is a book that I reasonably listened to. So it's an audio book, and this is a book called Lab Girl by Hope Jarren. So Hope Jaron, she is a scientist. She's a geochemist that essentially studies the fossil plants. And she uses this fossil plan, the chemical analysis to understand what was the climate. Back in thousands. Years, hundreds of thousands of years ago. And so something that incredibly touched me by this book, it was narrated by the author. An incredibly personal story. Incredibly. So certain parts of the book, you could actually hear the author crying.

    2021-01-11 · Lex Fridman Podcast · #153 – Dmitry Korkin: Evolution of Proteins, Viruses, Life, and AI · IDENTIFIED FROM THE TRANSCRIPT · source

  8. And so this book is very difficult to read because every single paragraph is just compact, is filled with these ideas. And the ideas are incredible. Even nowadays, so he tried to put the parallels between the brain computing power, the neural system, and the computers, as there were understood.

    2021-01-11 · Lex Fridman Podcast · #153 – Dmitry Korkin: Evolution of Proteins, Viruses, Life, and AI · IDENTIFIED FROM THE TRANSCRIPT · source

  9. Called the computer and the brain. And that was the book. He was writing knowing that he was dying of cancer. So, the book was released back. It's a very thin book, right? The power, the intellectual power in this book, in this essay, is incredible. I mean, you probably know that von Neumann is considered to be one of these biggest thinkers, right? So his intellectual power was incredible, right? And you can actually feel this power in this book. He will die. The book actually got published only after his death back in 1958. He died in 1957. So he tried to put as many ideas that he still hadn't realized.

    2021-01-11 · Lex Fridman Podcast · #153 – Dmitry Korkin: Evolution of Proteins, Viruses, Life, and AI · IDENTIFIED FROM THE TRANSCRIPT · source

  10. Yes, yes. So now there is the third book is an English book and it's completely different. So we're switching the gears completely. So this is the book which it's not even a book. It's an essay by Jonathan Neumann.

    2021-01-11 · Lex Fridman Podcast · #153 – Dmitry Korkin: Evolution of Proteins, Viruses, Life, and AI · IDENTIFIED FROM THE TRANSCRIPT · source

  11. And also someone who experienced cancer in his life. The Gulak archipelago and this book, these are the works that actually made him receive a Nobel Prize. But to me, I've read other books by Sojnissen. This one is to me is the most powerful one.

    2021-01-11 · Lex Fridman Podcast · #153 – Dmitry Korkin: Evolution of Proteins, Viruses, Life, and AI · IDENTIFIED FROM THE TRANSCRIPT · source

  12. And the way it reads, I mean, first of all, later on, I read the accounts of the doctors who describe the experiences in the book by the patient as incredibly accurate. So I read that there was some doctors saying that every single doctor should read this book to understand what the patient feels. But, you know, again, as many of the Solzhenins books, it has multiple levels of complexity. And obviously, if you look above, The cancer and the patient, I mean, the humor that was growing and then disappeared in his body with some consequences. I mean, this is allegorically the Soviet. And he actually, when he was... He said that this is what makes him think about this, you know, how to combine these experiences. Being a part of the Soviet regime Also being a part of someone sent to Gulag camp, right?

    2021-01-11 · Lex Fridman Podcast · #153 – Dmitry Korkin: Evolution of Proteins, Viruses, Life, and AI · IDENTIFIED FROM THE TRANSCRIPT · source

  13. It's about, I mean, essentially based on Solzhenitsyn was diagnosed with cancer when he was reasonably young and he made a full recovery. But so this is about a person who was sentenced for life in one of these camps. And he had some cancer. So he was transported back to one of these Soviet republics. I think South Asian republics. And the book is about Know his experience. Being a prisoner, being a patient in the cancer clinic, in a cancer ward surrounded by people, many of which die.

    2021-01-11 · Lex Fridman Podcast · #153 – Dmitry Korkin: Evolution of Proteins, Viruses, Life, and AI · IDENTIFIED FROM THE TRANSCRIPT · source

  14. What's the second one? So the second one is again another one that it happened, I read it later in my life. I think I read it first time when I was a graduate student. And that's the Sojourn Nitsen's Cancer Ward. That is Amazingly powerful book.

    2021-01-11 · Lex Fridman Podcast · #153 – Dmitry Korkin: Evolution of Proteins, Viruses, Life, and AI · IDENTIFIED FROM THE TRANSCRIPT · source

  15. I was just taken by the fact that. You have those parallel lives. Apart from many centuries, right? And somehow they got sort of intertwined Into one story And that's to me was fascinating. And, you know, of course, the romantic part of this book is not just romance. It's like the romance empowered by sort of magic, right? And maybe on top of that, you have some irony, which is unavoidable, right? Because it was the Soviet time.

    2021-01-11 · Lex Fridman Podcast · #153 – Dmitry Korkin: Evolution of Proteins, Viruses, Life, and AI · IDENTIFIED FROM THE TRANSCRIPT · source

  16. In English, so it is incredibly powerful. And I mean, the way it ends, right? So I still have goosebumps when I read the very last sort of, it's called prologue, where it's just so powerful.

    2021-01-11 · Lex Fridman Podcast · #153 – Dmitry Korkin: Evolution of Proteins, Viruses, Life, and AI · IDENTIFIED FROM THE TRANSCRIPT · source

  17. It's an audiobook. And there's some specific reason behind that. So, you know, so the first book is something that impacted my earlier stage of life, and I'm probably not going to be very original here. It's Bulgakov's master and margarita. So that's probably

    2021-01-11 · Lex Fridman Podcast · #153 – Dmitry Korkin: Evolution of Proteins, Viruses, Life, and AI · IDENTIFIED FROM THE TRANSCRIPT · source

  18. Exactly. No, I think contact tracing is obviously a key component in understanding the spread of this virus. There is a number of challenges, right? So XPRISE is one of them. just recently took a part of this competition. It's the prediction of the number of infections in different regions. Obviously, the AI is the main topic in those predictions.

    2021-01-11 · Lex Fridman Podcast · #153 – Dmitry Korkin: Evolution of Proteins, Viruses, Life, and AI · IDENTIFIED FROM THE TRANSCRIPT · source

  19. So, which allows us to actually trace very precisely the evolutionary nature of this virus, what happens, and it's not just, you know, This virus independently of everything is the sequence of this virus linked, anchored to the specific geographic place. Specific people because our genot Influences also the evolution of this, it's always a host pathogen co-evolution that occurs.

    2021-01-11 · Lex Fridman Podcast · #153 – Dmitry Korkin: Evolution of Proteins, Viruses, Life, and AI · IDENTIFIED FROM THE TRANSCRIPT · source

  20. One thing that I was really amazed at how efficient the scientific community was. I mean, and even just judging on this very narrow domain of protein structure, understanding the structural characterization of this virus from the components point of view, whole virus point of view If you look at SARS, right, something that happened less than 20, but close enough 20 years ago. You see what it happened, you know, what was sort of the response by the scientific community, you see that the structural characterizations did occur, but it took several years, right? Now the things that took several years, it's a matter of months. So we see that the research pop up, we are at the unprecedented level in terms of the sequencing. Never before we had a single virus sequenced so many times

    2021-01-11 · Lex Fridman Podcast · #153 – Dmitry Korkin: Evolution of Proteins, Viruses, Life, and AI · IDENTIFIED FROM THE TRANSCRIPT · source

  21. You know, I also hope that's what we see. I mean, with the way we are getting connected, the world is getting connected. I think it... Helps for the world to become more transparent. So the information spread is, you know, I think it's one of the key things for the society Become more balanced. Way or another

    2021-01-11 · Lex Fridman Podcast · #153 – Dmitry Korkin: Evolution of Proteins, Viruses, Life, and AI · IDENTIFIED FROM THE TRANSCRIPT · source

  22. I think View, I would still be worried about the natural pandemics simply because, I mean, the capacity Of the nature producing. This does

    2021-01-11 · Lex Fridman Podcast · #153 – Dmitry Korkin: Evolution of Proteins, Viruses, Life, and AI · IDENTIFIED FROM THE TRANSCRIPT · source

  23. Yeah, so then there might be some regulation. So I think back in 2015, there was an issue on regulating the research on influenza strains, right? There were several groups used mutation analysis to determine whether or not this strain will jump from one species to another. And I think there was like a half a year moratorium on the research, on the paper published until scientists analyzed it and decided that it's actually safe.

    2021-01-11 · Lex Fridman Podcast · #153 – Dmitry Korkin: Evolution of Proteins, Viruses, Life, and AI · IDENTIFIED FROM THE TRANSCRIPT · source

  24. Yes. Then we've seen in the past there could be some regulation of the moment the scientific community Recognizes that it's now becoming no longer a sort of a fun puzzle for machine learning.

    2021-01-11 · Lex Fridman Podcast · #153 – Dmitry Korkin: Evolution of Proteins, Viruses, Life, and AI · IDENTIFIED FROM THE TRANSCRIPT · source

  25. That's true. That's true. I mean, uh, Again, the hope is several things, right? So one is that even if you design a sequence, so to carry out the actual experimental biology to ensure that all the components working. Is a completely different

    2021-01-11 · Lex Fridman Podcast · #153 – Dmitry Korkin: Evolution of Proteins, Viruses, Life, and AI · IDENTIFIED FROM THE TRANSCRIPT · source

  26. I mean, for this specific one, we do. We might actually have to back up on this. We're still in the process. There was one work that appeared in Bioarchive by Eugene Kunin, who is one of these pioneers in evolutionary genomics. And they tried to look at this, but the methods were sort of standard supervised learning methods. Now the question is, can you advance it further by using not so standard methods? There's obviously a lot of hope in transfer learning where you can actually try to transfer the information that the machine learning learns about Proper protein sequences, right? And so there is some promise in going this direction, but if we have this, it would be extremely useful because then we could essentially forecast the potential mutations that would make a current strain. More or less path

    2021-01-11 · Lex Fridman Podcast · #153 – Dmitry Korkin: Evolution of Proteins, Viruses, Life, and AI · IDENTIFIED FROM THE TRANSCRIPT · source

  27. There are also some seasonal versus pandemic strains of influenza. And determining what are the molecular determinant, right? So that are built into the protein sequence, into the gene sequence. And whether or not the machine learning can determine those components.

    2021-01-11 · Lex Fridman Podcast · #153 – Dmitry Korkin: Evolution of Proteins, Viruses, Life, and AI · IDENTIFIED FROM THE TRANSCRIPT · source

  28. MERS that are pathogenic, but we also have strains of other coronaviruses that are not pathogenic, the common cold viruses and some other ones, right?

    2021-01-11 · Lex Fridman Podcast · #153 – Dmitry Korkin: Evolution of Proteins, Viruses, Life, and AI · IDENTIFIED FROM THE TRANSCRIPT · source

  29. With machine learning, right? So, well, you know. So, luckily for us, I mean, we don't have that much data. Right We actually right now, one of the projects that we are carrying on in the lab is we're trying to develop a machine learning algorithm that determines whether or not the current strain is pathogenic.

    2021-01-11 · Lex Fridman Podcast · #153 – Dmitry Korkin: Evolution of Proteins, Viruses, Life, and AI · IDENTIFIED FROM THE TRANSCRIPT · source

  30. Design different things that so you can, yeah, so you can do, well, you can look at the proteins from the function perspective, you can also look at the proteins from the structure perspective, right? So the structural building blocks. So if you want to have a building block of a certain shape, you can try to achieve it. By introducing new proton sequence and predicting how it will fold. So, with that, I mean, it's a natural, one of the natural applications of these algorithms. Now, talking about engineering a virus.

    2021-01-11 · Lex Fridman Podcast · #153 – Dmitry Korkin: Evolution of Proteins, Viruses, Life, and AI · IDENTIFIED FROM THE TRANSCRIPT · source

  31. So, to answering the first question, it has been a part of the research in the protein science, the protein design is a very prominent areas of research. Of course, one of the pioneers is David Baker and Rosetta algorithm that essentially was doing the nova design and was used to design new proteins.

    2021-01-11 · Lex Fridman Podcast · #153 – Dmitry Korkin: Evolution of Proteins, Viruses, Life, and AI · IDENTIFIED FROM THE TRANSCRIPT · source

  32. And similar approaches, because again, it's a matter of time that people will embrace this principle and will see more and more such tools coming into play. But these methods will be critical in a scientific discovery, no doubts about it.

    2021-01-11 · Lex Fridman Podcast · #153 – Dmitry Korkin: Evolution of Proteins, Viruses, Life, and AI · IDENTIFIED FROM THE TRANSCRIPT · source

  33. I mean I think we are definitely destined to see the Nobel Prize becoming sort of to be evolving with the evolution of science and the evolution of science as such that it now becomes like really multifaceted, right? So you don't really have a unique discipline, you have sort of a lot of cross-disciplinary talks in order to achieve sort of really big advancements. So I think The computational methods will be acknowledged in one way or another. And as a matter of fact, they were first acknowledged back in 2013, where the first three people were awarded the Nobel Prize for studying the protein folding, the principal. And I think all three of them are computational biophysicists. So that, I think, is in avoidable. It will come with a time. The fact that Alpha fold

    2021-01-11 · Lex Fridman Podcast · #153 – Dmitry Korkin: Evolution of Proteins, Viruses, Life, and AI · IDENTIFIED FROM THE TRANSCRIPT · source

  34. But we participated back in about 10 years ago. And the way we entered this competition, so we designed a scoring function, right? So the function that evaluates whether or not your protein interaction is supposed to look like experimentally solved, right? So this scoring function is a very critical part of the model prediction. So we design it to be a machine learning. And so it was one of the first machine learning based scoring function used in Capri. And essentially learned what should contribute, what are the critical components contributing into the protein-protein interactions.

    2021-01-11 · Lex Fridman Podcast · #153 – Dmitry Korkin: Evolution of Proteins, Viruses, Life, and AI · IDENTIFIED FROM THE TRANSCRIPT · source

  35. To me, it's yet another level of complexity because when we talk about protein-protein interactions, and there is actually a different challenge for this called Capri. And so that is focused specifically on macromolecular interactions, protein, protein, protein, DNA, et cetera. But it's, you know. There are different mechanisms that govern molecular interactions and that need to be picked up say by a machine learning algorithm. Interestingly enough, we actually participated for a few years in this competition. We typically don't participate in competitions, I don't know, don't have enough time because it's very intensive. It's a very intensive process.

    2021-01-11 · Lex Fridman Podcast · #153 – Dmitry Korkin: Evolution of Proteins, Viruses, Life, and AI · IDENTIFIED FROM THE TRANSCRIPT · source

  36. So it's one of the key actors in the majority of neurological processes at the molecular level. So essentially it's a key player. In the postsynaptic density. So, this is the crucial part of the synapse where a lot of this chemolecular process are happening. So it has five domains, right? So five protein domains. It's a pretty large proteins, I think 600 something, I mean. But, you know, the way it's organized itself, it's flexible, right? So it acts as a scaffold. So it is used to bring in other proteins. So they start acting in the orchestrated manner. And the type of the shape of this protein, in a way there are some stable parts of this protein, but there are some flexible. And this flexibility is built in into the protein in order to become sort of this multifunctional machine.

    2021-01-11 · Lex Fridman Podcast · #153 – Dmitry Korkin: Evolution of Proteins, Viruses, Life, and AI · IDENTIFIED FROM THE TRANSCRIPT · source

  37. Complexes. Yes, you got it right. So it's sort of, it has. The components of both protein folding and protein-protein interactions. Because in order for these domains, I mean, many of these proteins, actually, they never form a stable structure. One of my favorite proteins, and pretty much everyone who works in the I know whom I know who works with proteins, they always have their favorite proteins. So one of my favorite proteins, probably my favorite proteins, the one that I worked when I was a postdoc, is so-called postsynaptic density 95, PSD95 protein.

    2021-01-11 · Lex Fridman Podcast · #153 – Dmitry Korkin: Evolution of Proteins, Viruses, Life, and AI · IDENTIFIED FROM THE TRANSCRIPT · source

  38. Yeah, no, absolutely. I completely agree. But yeah, whether or not we'll have one day we'll have a song written by an AI engine to be in top charts. Musical charts. I wouldn't be surprised. I wouldn't be surprised.

    2021-01-11 · Lex Fridman Podcast · #153 – Dmitry Korkin: Evolution of Proteins, Viruses, Life, and AI · IDENTIFIED FROM THE TRANSCRIPT · source

  39. And so it's almost like you don't have to sort of look at the data. You just listen to it and say, nah, that's not it. Not yet.

    2021-01-11 · Lex Fridman Podcast · #153 – Dmitry Korkin: Evolution of Proteins, Viruses, Life, and AI · IDENTIFIED FROM THE TRANSCRIPT · source

  40. Interestingly enough, you know, classical music was among the most difficult ones. And Of course, if you know. If you look at Grand Masters of Music, like Bach, right? So there is a lot of almost math. Yeah, well, he's very mathematical.

    2021-01-11 · Lex Fridman Podcast · #153 – Dmitry Korkin: Evolution of Proteins, Viruses, Life, and AI · IDENTIFIED FROM THE TRANSCRIPT · source

  41. They get to present the top selection. They were pretty good. I mean, you know, I mean, of course, I'm not a specialist, but you read them and you see profound. Yes, it seems reasonable. So it's kind of cool. We also had a couple of projects where people tried to teach AI how to play like rock music, classical music. I think and popular music.

    2021-01-11 · Lex Fridman Podcast · #153 – Dmitry Korkin: Evolution of Proteins, Viruses, Life, and AI · IDENTIFIED FROM THE TRANSCRIPT · source

  42. No, I agree. And, you know, that's, you know, As I mentioned, I offer my AI class and an integral part of this is a project, right? So it's my favorite, ultimate favorite part because typically we have this project presentations the last two weeks of the class is right before the Christmas break and it's sort of it adds this cool excitement. And every time, I mean, I'm amazed with some projects that people come up with. And so quite a few of them are actually have some link to arts. I mean, I think last year we had a group who designed an AI producing Hocus Japanese poems. And some of them, so you know, it got trained on the English, right? So, and some of them, you know,

    2021-01-11 · Lex Fridman Podcast · #153 – Dmitry Korkin: Evolution of Proteins, Viruses, Life, and AI · IDENTIFIED FROM THE TRANSCRIPT · source

  43. I also have another one that you didn't mention that's one of my favorite ones. So you probably heard of this. It's, I think it's called Deep Rembrandt. It's the project where they trained, I think there was a collaboration between the sort of the experts in Rembrandt painting in Netherlands and a group, an artificial intelligence group, where they train an algorithm to replicate the style. Of the Rembrandt and they actually printed a portrait that never existed before. The style of Rembrandt, they printed it on a sort of on the canvas that using pretty much same types of paints and stuff. To me it was mind-blowing.

    2021-01-11 · Lex Fridman Podcast · #153 – Dmitry Korkin: Evolution of Proteins, Viruses, Life, and AI · IDENTIFIED FROM THE TRANSCRIPT · source

  44. Well, in terms of the impact on the science and on the society beyond, it's definitely to me would be one of the top three. I mean, I probably are not the best person to answer that, you know, but I do have, I remember my back in, I think, 1997 when Deep Blue But Kasparov, it was. I mean, it was a shock. I mean, it was, and I think for the, you know, For the pre-substantial part of the world that especially people who have some experience with chess, right? And realizing how incredibly human this game, how much of a brain power you need to reach those levels of grandmasters.

    2021-01-11 · Lex Fridman Podcast · #153 – Dmitry Korkin: Evolution of Proteins, Viruses, Life, and AI · IDENTIFIED FROM THE TRANSCRIPT · source

  45. Yes, but we also can take advantage of homology models, right? So the models that are of very good quality because they are essentially obtain based on the evolutionary information. So there is a potential to enhance this information and use it again to empower the training set. And I think I am actually very optimistic. I think it's been one of these sort of Choning events where you have a system that is a machine learning system that is truly better than the more conventional biophysics based methods.

    2021-01-11 · Lex Fridman Podcast · #153 – Dmitry Korkin: Evolution of Proteins, Viruses, Life, and AI · IDENTIFIED FROM THE TRANSCRIPT · source

  46. Well, I mean, I do think that especially with regards to the alpha fault, it is able to Solve at the near experimental level a pretty big majority of the more compact proteins or protein domains. Because again, in order to understand how the overall protein multidomain protein fold, we do need to understand the structure of its individual domains

    2021-01-11 · Lex Fridman Podcast · #153 – Dmitry Korkin: Evolution of Proteins, Viruses, Life, and AI · IDENTIFIED FROM THE TRANSCRIPT · source

  47. Them, well, the majority of them are highly multidomain proteins. So they are, you know, some of them have five, six, seven, and more domains, right? And we are very far away from understanding how these proteins are folded.

    2021-01-11 · Lex Fridman Podcast · #153 – Dmitry Korkin: Evolution of Proteins, Viruses, Life, and AI · IDENTIFIED FROM THE TRANSCRIPT · source

  48. So now, speaking about protein folding, right? So, you know, in order to answer the question whether or not we have solved this, right? So we need to go back to the beginning of our conversation with the realization that an average protein that typically the cusp has been focusing on is this competition has been focusing on the single maybe two domain proteins that are still very compact and even those ones are extremely challenging to solve. But now we talk about an average protein that has two, three protein domains. If you look at the proteins that are in charge of the process with the neural system, right? Perhaps one of the most recently evolved sort of systems in the organism.

    2021-01-11 · Lex Fridman Podcast · #153 – Dmitry Korkin: Evolution of Proteins, Viruses, Life, and AI · IDENTIFIED FROM THE TRANSCRIPT · source

  49. But in different organisms and aligning it, so making it the corresponding positions aligned, we can actually say a lot about what is conserved in this protein. And therefore, structurally more stable, what is diverse in these proteins. So on top of that, we could provide sort of the information about the secondary structure of this protein, etc. So this information is extremely useful. It's already there. So while it's tempting to do a complete abonito, so you just have a protein sequence and nothing else, the reality is such that we are overwhelmed with this data. So why not use it? And so, yeah, so I'm looking forward to reading this paper.

    2021-01-11 · Lex Fridman Podcast · #153 – Dmitry Korkin: Evolution of Proteins, Viruses, Life, and AI · IDENTIFIED FROM THE TRANSCRIPT · source

  50. Yes. So evolutionary similarity is something that we can detect at different levels, right? So we know, for example, that the structure of proteins is more conserved than the sequence. The sequence could be very different, but the structural shape. Is actually still very conserved. So that's sort of the intrinsic property that in a way related to protein faults, to the evolution of the proteins and protein domains, etc. But we know that. I mean, there have been multiple studies. And ideally, if you have structures, you should use that information. However, sometimes we don't have this information. Instead, we have a bunch of sequences. Sequences we have a lot, right? So we have hundreds, thousands of different organisms sequenced. And by taking the same protein,

    2021-01-11 · Lex Fridman Podcast · #153 – Dmitry Korkin: Evolution of Proteins, Viruses, Life, and AI · IDENTIFIED FROM THE TRANSCRIPT · source