James Zou
speaker
371 appearances
1 recordings
1 series
first heard Dec 2024
last heard Dec 2024
James Zou’s voice in public audio — every appearance, attributed to the second.
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computational platform that they developed, they created, actually uses quite sophisticated tools like protein language models like ESM, they use AlphaFold, they also use like more uh like Rosetta and the more like physics-based tools.
Well, each of the two have been used before in previous studies, of course, but the way that the agents actually modify these tools and then put them together into this overall pipeline is actually new to the best of our knowledge.
So that's something that's already very cool.
And the part that's maybe even more exciting is that they actually used this new pipeline to really develop a bunch of nanobodies.
And then with our collaborators at the Chanzak Garburg Biohub, we actually then made those nanobodies and physically and experimentally tested them.
And a couple of these nanobodies actually look very promising in terms of having
strong binding profiles to some of the recent variants, but while retaining and even improving its binding profiles to some of the earlier variants.
And I think that's sort of like a holy grail because you want to have potential vaccines or therapeutics that can bind well across like a diversity of of uh variants, even as the viruses like evolve over time.
Yeah, so thank you for that question.
As you mentioned, there's a lot of exciting progress and research projects are trying to use agents for science.
I think a lot of the previous works on agents for science or or l language models for science more broadly.
It is sort of looking at much more narrow tasks, right?
Narrow in the sense of like the human researchers have defined here's exactly
what I want to do and here are the different steps even, and then having the agents more sort of redoing the more low-level implementations and executions of those steps.
Right.
And the other mode is where the agents sort of come up with like research ideas, right?
But then the agents really don't really do very much of the actual execution.
And especially there's very little experimental validation, the real world rounding of those research ideas.
And the virtual app is designed to sort of address some of those limitations and be much more flexible.
Right.
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