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How do you go from a hit in your antibody screen to a suitable drug? Now introducing CloneBO: we optimize antibodies in the lab by teaching a generative model how we optimize them in our bodies! w/ Nate Gruver Yilun Kuang Yucen Lily Li Andrew Gordon Wilson and the team at BigHat Biosciences! 1/7

Really excited about this new work on Bayesian optimization for antibody design! It works by teaching a generative model how the human immune system evolves antibodies for strong and stable binders.

This project has something for everyone to love! Multi-sequence language models, twisted SMC, wet lab experiments. Go check it out.

Next Tues (3/18) at 4PM ET we will have Alan Amin present "Bayesian Optimization of Antibodies Informed by a Generative Model of Evolving Sequences" Paper: arxiv.org/abs/2412.07763 Sign up on our website for zoom links!

Happening today at 4PM ET!

Spotlight at #ICLR2025 Thursday 3 pm! Come say hi! Also excited to present new works at AI4NA, GEM, and FPI workshops!

🚨 New in Immunity ! EVE-Vax, an AI model that anticipates future viral evolution and designs antigens to proactively test vaccines + therapeutics—before variants even emerge. We envision this work will help make future-proofed vaccines and therapeutics. 👇 (1/7)

Want to improve your protein or genomic language model’s performance at zero-shot variant effect prediction? We propose a simple adjustment to likelihood-based approaches. biorxiv.org/content/10.110…

🚨ICML Paper Alert🚨 What if finding the right protein homologs wasn't a slow search, but a learned part of the model itself? We introduce 𝐏𝐫𝐨𝐭𝐫𝐢𝐞𝐯𝐞𝐫, an end-to-end framework that learns to retrieve the most useful homologs for self-supervised reconstruction! (1/12)

its rna time