antibodies

4 statements across 2 episodes · 4 bullish · 0 bearish · 3 people on the record · first statement May 27, 2026 by Alex Rives · across every show →

Everything said about antibodies, oldest first

May 27, 2026 bullish
Assertion Supported
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.”
Alex Rives May 27, 2026 ▶ 29:46 🔬 The Bitter Lesson is Coming for Proteins - Alex Rives, BioHub
Aug 11, 2026 bullish
Insight
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…”
Neil Patil Aug 11, 2026 ▶ 12:16 🔬They Thought the Model Was Broken — Matt McPartlon & Neil Patil, Chai Discovery
Aug 11, 2026 bullish
Assertion Not checkable as stated
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.”
Neil Patil Aug 11, 2026 ▶ 27:18 🔬They Thought the Model Was Broken — Matt McPartlon & Neil Patil, Chai Discovery
Aug 11, 2026 positive
Assertion Supported
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.”
Matt McPartlon Aug 11, 2026 ▶ 22:51 🔬They Thought the Model Was Broken — Matt McPartlon & Neil Patil, Chai Discovery
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