How AlphaFold solves protein folding

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  • Опубліковано 25 кві 2024
  • AlphaFold paper: www.nature.com/articles/s4158...
    The original paper about transformers (the technology behind GPT), Attention Is All You Need: arxiv.org/abs/1706.03762
    Helpful videos and blogposts about attention and AlphaFold
    3blue1brown's video on transformers: • Attention in transform...
    Nazim Bouatta's talk on AlphaFold: • Nazim Bouatta | Machin...
    Simon Kohl's talk on AlphaFold, (he is one of the coauthor's of the algorithm): • Highly Accurate Protei...
    A very thorough blogpost about the algorithm from UV-Bio: www.uvio.bio/alphafold-archit...
    The Openfold github + paper: github.com/aqlaboratory/openfold + www.biorxiv.org/content/10.11...
  • Наука та технологія

КОМЕНТАРІ • 77

  • @WanJae42
    @WanJae42 19 днів тому +59

    The media would have you believe that researchers merely asked AI to solve the folding problem, and it magically did. This video is an excellent illustration that the problem needed to be really well understood by the researchers, and a method had to be found in which to frame the problem in such a way that it was suitable for machine learning to solve. This is not unlike traditional software development. For now, there's still a lot of human intelligence required in getting AI to do useful things.

    • @LookingGlassUniverse
      @LookingGlassUniverse  19 днів тому +10

      I was very surprised at how involved this algorithm is! As you say, there was a lot of knowledge about the problem that was needed to solve it

    • @ThePowerLover
      @ThePowerLover 18 днів тому

      Well, now you can "merely aks the AI" to solve the folding problem of a protein. That work is just made once, and not always, more and more of the capabilites of AI are "emergent", not crafted.
      And, are you equaling AlphaFold to the bleeding edge of public AI right now?!

    • @MelindaGreen
      @MelindaGreen 17 днів тому

      For now

  • @lbgstzockt8493
    @lbgstzockt8493 17 днів тому +8

    The triangle inequality is the kind of mathematical construct that, when learning about, seems kind of useless or obvious but then shows up everywhere.

    • @LookingGlassUniverse
      @LookingGlassUniverse  16 днів тому +1

      Right? I remember thinking, “why are we bothering to learn this?” When it first came up.

  • @LookingGlassUniverse
    @LookingGlassUniverse  19 днів тому +37

    I know this is a bit different from my usual videos! I've been very interested in how AI in science recently, and AlphaFold is a great case study.
    I was shocked when I heard that protein folding, one of the most notorious and important questions in computational biology, had suddenly been solved by AI. In this video I explain what the AlphaFold algorithm actually does. Next week I want to see if I can replicate it.

    • @HuygensOptics
      @HuygensOptics 19 днів тому +2

      Thanks for this video and looking forward to the follow -up. I can understand how AI can make predictions about folding and structure based on the actual sequence. But I guess another important aspect is of course the function that a protein can perform or how active it is. Is this something that AI can also predict?

    • @gelly127
      @gelly127 19 днів тому

      I would also be interested in the followup of replicating it. even a simplified version would be great

    • @tcaDNAp
      @tcaDNAp 18 днів тому

      Any video is already a nice surprise! The connection to quantum computing makes it totally on-brand because I'm seeing so much excitement about how transformers and attention models will replace other AI... maybe quantum computing will fulfill the hype too!

    • @ThePowerLover
      @ThePowerLover 18 днів тому

      But AlphaFold is very ancient by today's standard.

    • @Create-The-Imaginable
      @Create-The-Imaginable 18 днів тому

      Please more AI videos, AI is a pivot point for Humanity!

  • @adityakhanna113
    @adityakhanna113 19 днів тому +14

    Gosh, I remember at the beginning of my undergrad talking to my friend about protein folding and how hard is it. Five years later, we were talking about how AlphaFold just solved the problem. It's crazy!
    Would love to see more diverse stuff from you!

    • @LookingGlassUniverse
      @LookingGlassUniverse  19 днів тому +7

      Yeah, I remember how certain people were that it was an intractable problem classically. AlphaFold really came out of the blue!

    • @yousufo.ramahi126
      @yousufo.ramahi126 18 днів тому +3

      I certainly would not say that its 'solved'. Under rigid conditions of determining singular structures based on the protein data bank, alphafold performs amazingly. That's only a small subset of our proteome. alphafold cannot generate ensembles of structures, which is an exceptional challenge.

    • @ThePowerLover
      @ThePowerLover 18 днів тому

      @@yousufo.ramahi126 Yeah, but AlphaFold is already old.

  • @jaredokada5683
    @jaredokada5683 19 днів тому +9

    In undergrad, I used to work in a structural biochemistry lab. I worked a lot with predicting protein structures using homology modeling to comparing two proteins with similar primary structures and other characteristics and using that to predict the tertiary structure of our protein of interest. I graduated before alphafold came out but I remember the excitement of those working in my former lab when it came out. Back then with our ab initio protein modeling techniques, I think the best we could do was proteins with like 100-200 residues with limited accuracy but I think alphafold can due over a thousand with decent accuracy. I no longer do any of that stuff but it is pretty amazing to see such a massive breakthrough in my former field of study.

    • @LookingGlassUniverse
      @LookingGlassUniverse  19 днів тому +3

      Oh that's so interesting! If you still keep in contact with your former lab, do you know how their research has changed now?

    • @freshd2431
      @freshd2431 2 години тому

      A friend of mine is working in that field as well. Maybe I can set you guys up for a talk? Would love to know the answer as well haha

  • @SriNiVi
    @SriNiVi 6 днів тому

    Insanely well presented content.

  • @gelly127
    @gelly127 19 днів тому +2

    thanks! there have been a few explanations of alphafold in various videos, but now I can say that finally there is a good explanation video on youtube

  • @meadow9
    @meadow9 19 днів тому +1

    Very clear explanation. Thanks!

  • @michaelm358
    @michaelm358 18 днів тому +3

    We missed you!!

  • @checkm8606
    @checkm8606 18 днів тому

    Awesome animations. Really nicely done :)

  • @purezero23
    @purezero23 18 днів тому +4

    Top tier content right here

  • @tomholroyd7519
    @tomholroyd7519 19 днів тому +9

    And Go. We thought Go was impossible for a computer. We learned that AI can see patterns that we overlook

  • @hitoshiyamauchi
    @hitoshiyamauchi 15 днів тому

    Thanks! It was fun to watch.😀

  • @MelindaGreen
    @MelindaGreen 17 днів тому +2

    The triangle inequality went a long way towards understanding for me, thanks

  • @TedToal_TedToal
    @TedToal_TedToal 19 днів тому

    Thanks, that was very good!

  • @dibenp
    @dibenp 19 днів тому +1

    Come for the animation. Stay for the content. ❤

  • @yan-amar
    @yan-amar 19 днів тому +3

    Look at AlphaGo go, how AlphaFold folds, and Alphabet... Bets?

  • @hansisbrucker813
    @hansisbrucker813 16 днів тому +1

    I remember playing Fold-it years ago to help scientists figure out proteine folding as computers couldn't do it. Glad to see that computers *can* do it now 😊

    • @LookingGlassUniverse
      @LookingGlassUniverse  16 днів тому +1

      I remember that!! Crazy isn’t it that computers are now good at this problem?

  • @zachatomata9168
    @zachatomata9168 19 днів тому +2

    It's interesting to see some AI topics on your channel. I find quantum physics interesting, but a lot of it goes over my head admittedly. AI/ML is more in my wheelhouse, so I'm excited for the follow up video on this. I think a lot of the more interesting AI algorithms are those like AlphaFold which combine some expert/domain knowledge to provide structure to more numerical machine learning algorithms. If you're starting to explore more AI literature, do you think you would try to create a video combining your own domain knowledge of physics plus AI to solve something new?

    • @LookingGlassUniverse
      @LookingGlassUniverse  18 днів тому

      Thank you! I’m very interested in the intersection of quantum physics/ chemistry and AI. I’d love to make more videos about it!

  • @mariommamtaj3624
    @mariommamtaj3624 20 годин тому

    Hi Mithuna, I really enjoy your videos. But could you take some time out to complete the linear algebra series, they do not have to be perfect?

  • @BooleanDisorder
    @BooleanDisorder 16 днів тому

    Attention is truly all you need

  • @BrianHickmanMilitaryBrat
    @BrianHickmanMilitaryBrat 17 днів тому

    With videos like this I learn a lot. As someone that never studied science in school but out of school have an interest in science, I enjoy this. Clear explanation. Your animation is a lot better in this video as well.

  • @finalfan321
    @finalfan321 10 днів тому

    very interesting

  • @nataliaquenmaz2097
    @nataliaquenmaz2097 17 днів тому

    Holy moly!!

  • @rachel_rexxx
    @rachel_rexxx 19 днів тому

    Neat!

  • @sanjay-cm7dl
    @sanjay-cm7dl 8 днів тому

    MAM How u done quantum mechanics as i was browsing through ur old videos i saw u done quantum mech degree so where and how u done it mam can a 12th grader do it?

  • @Morimea
    @Morimea 9 днів тому

    This is statistic analyze, and preparing data to do statistic analyze is main in quality of final result of statistic approximation.
    Just sort your data and build statistic of data connections - and predict outcome of new data base on statistic.
    Chess was solved same way in the late 1980s.
    Now "statistical approximation" called as AI.
    As mentioned in other comment - "media present AI as magic that invent rules of universe" - when it hand made data analyze made exact for this task.

  • @philochristos
    @philochristos 19 днів тому +1

    Does it just predict how known proteins fold, or can it predict how a completely novel protein would fold? Like if I just invented an amino acid sequence that doesn't actually exist in nature, could it predict how that protein would fold if it were actually made?

    • @LookingGlassUniverse
      @LookingGlassUniverse  18 днів тому +2

      That’s a great question! It claims to work for “biological relevant” proteins. There are definitely pathological ones it can’t do well. But I wonder how well it does for “random” proteins

  • @philochristos
    @philochristos 19 днів тому +1

    I don't know much biology, but isn't it the case that not all amino acid sequences are capable of folding into a stable shape? I wonder what AlphaFold would say about those. Would it say, "I mean, like, we can fold parts of it, but we can't get the whole thing to fold into a stable shape"?

    • @LookingGlassUniverse
      @LookingGlassUniverse  17 днів тому +1

      That’s so interesting! I might give it a go. My guess is that it just takes a stab at it and gets it wrong

  • @ThePowerLover
    @ThePowerLover 18 днів тому

    I hope you can catch up with the bleeding edge in public AI very soon, at least with its capabilities. Thanks for your videos.

  • @GeoffryGifari
    @GeoffryGifari 19 днів тому +1

    Given a one long string of amino acids, is there only one unique way that can fold?

    • @LookingGlassUniverse
      @LookingGlassUniverse  19 днів тому +2

      Great question! It seems like, given a particular environment (eg, ph levels and other molecules around) the protein will fold a certain way. But changing the environment can “denature” a protein (it will fold differently)

    • @ThePowerLover
      @ThePowerLover 18 днів тому

      ​@@LookingGlassUniverse Don't forget the effects of electromagnetic radiation, there is the resonance effects beyond the normally considered ones.

  • @sebastianweissbarth3385
    @sebastianweissbarth3385 18 днів тому

    maybe its just my headphones but your audio sounds vaguely like Robert Kennedy, like, but as though its an electronic effect.

  • @ddogg9255
    @ddogg9255 19 днів тому +3

    ChatGPT on steroids except it speaks in angles and distance instead of English 🥴

    • @aniksamiurrahman6365
      @aniksamiurrahman6365 19 днів тому +1

      Nah. More like "Homology Modeling" merged with Attension. If you wander, what Homology Modeling is - Its roughly what the first half of the video talk about. Alphafold just uses attention to extract better inference from the homology data.

  • @AdityaMehendale
    @AdityaMehendale 18 днів тому

    There is a philosophical dilemma here - would you give credit for "solving" a protein-folding to alphafold itself or the architects who baked-in the various sequences, loops, inequality-checks, pairwise modifiers, etc. into the basic design of alphafold? A "vanilla" model would have been inadequate to solve the problem, right? Alphafold "just" does the number-crunching.

  • @GeoffryGifari
    @GeoffryGifari 19 днів тому +1

    Given that the algorithm seem to require input from genetically related species,
    what kind of data does AlphaFold need to predict protein folding?
    does it need information on the full 3D shape of a protein of related species?

  • @adampope5107
    @adampope5107 19 днів тому +4

    AI is great for solving specific types of problems. Too bad it's being sold as technomagic for everything, and an incredible amount of resources have been dumped into the technomagic bubble that's starting to pop.

    • @aniksamiurrahman6365
      @aniksamiurrahman6365 19 днів тому +1

      It's mainly machine learning. May be we should stop calling it AI. May be we should stop calling it machine learning either, since that's mostly statistical inference recursively applied gazzilions of times.

    • @WanJae42
      @WanJae42 19 днів тому +3

      To be fair, ordinary digital computing was sold in the same way, with the same fears / mania expressed by the media, and the same business opportunities, some legit, many exploitative.

    • @adampope5107
      @adampope5107 19 днів тому

      @@WanJae42 kind of. It was sold as instant access to infinite knowledge, which is kinda true, along with some technomagical problem solving. It wasn't being sold as this is the solution to all problems and will make you insanely rich.

    • @adampope5107
      @adampope5107 19 днів тому

      @@aniksamiurrahman6365 AI, and deep or machine learning are definitely misnomers.

    • @WanJae42
      @WanJae42 19 днів тому

      @adampope5107 You may be younger than me. It was going to take over the world. Robots were going to run everything and take our jobs. Computers in movies could do everything except perform the actual car chase ... well until KITT came along. People thought that ordinary digital computers were already a kind of sentience, and didn't really know the difference. Not unlike how too many people today think that the current take on AI is sentient / thinking. The media played along. Hollywood played along. Tron depicted a massive intelligence going on inside an early 80s arcade cabinet. I give Terminator credit for at least explaining that the AI depicted required a leap in CPU technology unlike what existed at the time. (For the record, I love Tron.)

  • @user-vt4bz2vl6j
    @user-vt4bz2vl6j 19 днів тому +2

    Yay you upload! Never knew you were into AI. Good for me i guess...
    Edit: Obligatory "first" message

  • @aniksamiurrahman6365
    @aniksamiurrahman6365 19 днів тому

    So, basically, homology modeling on steriods, ummm, I mean attension.

  • @kricketflyd111
    @kricketflyd111 18 днів тому

    God's geometry of creation is waiting for you, your Esoteric studies will be realized in Time. ❤

    • @das_it_mane
      @das_it_mane 16 днів тому +2

      Please take this nonsense elsewhere. Smug theists always show their whole ass when they can't understand something. Go read a book. Try and learn.

  • @markxxx21
    @markxxx21 8 днів тому

    Once again brilliant explination. It's a shame your too educated to be a high school teacher. Because with the way you're able to break complex things down and make them interesting, you could get a lot of bored high schoolers interested in physics.