Antibodies
topic on 3 shows · 6 statements across 4 episodes
6 statements about Antibodies, every show
Patil: Generative models enable atom-level precise antibody epitope design
“And I think, like, one of the things that's really exciting about where we're getting to with some of these models is we can start to get that precise, right? Epitope, right? Meaning like binding spot, right? A very specific set of atoms to have the antibody g…”
McPartlon: Chai-2 generated binders for 25 targets with 20% hit rate
“So we designed antibodies to 50 targets for that paper, got binders to about half of them with being on average around a 20% hit rate for binding.”
Patil: Chai-2 crossed the performance threshold for antibody design last year
“The ultimate goal here is to design medicines, right, and design new molecules, and I think CHI-2 really crossed the threshold of performance for doing that with antibodies a year ago.”
ESMC model search generates novel antibodies achieving therapeutic-grade binding affinity levels
“What we're able to see is that, you know, you can search ESMC and you can actually find antibodies that are reaching the level of affinity that are, I should say, are really at the level of affinity that is needed for therapeutic function and activity.”
Shkreli: Pharma avoids peptides as the worst of both worlds
“And in fact, in pharma, you try to avoid peptides because of their inherent weaknesses. You go for small molecules or Really large molecules like antibodies. Peptides are sort of the worst of both worlds.”