Protein Folding
topic on 6 shows · 10 statements across 10 episodes
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the a16z Podcast
10 statements about Protein Folding, every show
Welling: Protein Folding and ML Force Fields Drove AI for Science Boom
“I think there's two big examples, you know, protein folding is a big one, and the other one is machine learning force fields, or something called machine learning inter-atomic potentials. Both of them have been actually very successful.”
AI Excels at Structure Prediction but Fails to Model Physical Folding
“Folding is the more complex process of actually understanding, like, how it goes from, like, this disordered state into, like, a structured, like, state, and that I don't think we've made that much progress on, but the idea of, like, yeah, going straight to th…”
AI protein folding will drive wet lab demand up 1,000x
“You realize that with protein folding, people are going to want to test protein like the actual protein synthesis in the real world. That demand is going to go up a hundred X. Go create wet labs. And just do the tests for these, for the people who are using co…”
Blank: DeepMind protein folding accelerated molecular biology by 30 years
“Google deep mind figured out how to do protein folding in a way that basically, you know, accelerated
You know molecular biology probably by 30 years.
we solve, you know, the three D structures of two hundred million proteins.”
Elad Gil says AI protein folding clearly merited the Chemistry Nobel
“AI being applied to chemistry and biology, Particularly around protein folding and protein drug interactions and things like that really was a breakthrough. So I think that, that probably merits it.”
Elad Gil notes larger context windows significantly improve AI protein folding fidelity
“I think one of the most striking examples of long context window being important is actually some biology models that have come out recently where just increasing the context window for things like protein folding Seems to really make a big difference in terms…”
Gil: Longer context windows will prove more important than expected for biology
“I think for certain application areas, like biology, longer context windows actually seem to be quite important. And so, for example, if you're doing a protein folding model and you have a short context window, you're often actually not encapsulating much of t…”
Quantum computers will outperform DeepMind's AI models at predicting protein folding
“DeepMind actually just released some really interesting papers on how they can predict, based on the sequence of amino acids, how a protein can fold. A quantum computer will be able to do that better. It just will”
Sinofsky: Nobody possesses codified rules for predicting protein folding
“Well, we know there are amino acids and we know that they have to be in three dimensions, but actually nobody else knows that there's no codified rules. Like nobody has the rules of protein folding.”
Cordova: Folding@home algorithm became the primary method for protein folding
“And the interesting thing about that, at least my recollection of it, is that No one thought that algorithm would work. It didn't look anything like the previous algorithms except that it was also doing some kind of chemistry that was interesting. And then the…”