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Yehlin Cho

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@ChoYehlin

Applied Research Scientist @NVIDIA Digital Biology 🧬
Formerly PhD @MIT (DMSE & Biology). Creating ML tools to decode protein design & make bio better. πŸƒβ€β™‚οΈπŸŽΈ
Joined February 2021
508 Following 1.2K Followers 106 Posts

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Yehlin Cho Verified account @ChoYehlin
πŸš€ Excited to share BindClaw! πŸ¦€

Starting from a prompt or research paper, BindClaw connects biological mechanisms to protein design: identify targets and binding sites β†’ build mechanism-specific computational assays β†’ generate and assess binders β†’ refine designs using the results.

We use agents to evaluate whether designs fit the intended biological objective, including competition with a native partner and preference for a particular molecular state. 🧬

In a human-guided calmodulin campaign, 15 of 18 designs showed binding to calcium-loaded CaM, including subnanomolar binders supported by both BLI and SPR.

This work is an incredible team effort together with @DidiKieran , @saint__ai, @ Kyle Gion and @sacdallago and many others!

πŸ“„paper/project: research.nvidia.com/labs/dbr/asset…
πŸ’»code: will be released in a few weeks!
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Yehlin Cho Verified account @ChoYehlin
🚨 Claude binder hits β‰  one-shot generator success.
Many used Refold + Redesign cycling:
generate β†’ predict β†’ redesign β†’ refold, repeat
This looks like Protein Hunter / HalluDesign / LASER-MPNN-style optimization. Interpret as generator + recycling, not ask once β†’ binder.
Anthropic Verified account @AnthropicAI Aug 18
Many drugs work by binding to a specific target in the body and blocking or changing what it does. An important first step in the drug development process is designing a molecule that can bind tightly to its target. Traditionally, that's meant weeks or months of expert work per target, sifting through a large number of candidates to identify the few that work.

We wanted to test if Claude could successfully design novel protein binders from scratch (also called de novo design). With a protein design prompt written by a human expert, Claude autonomously designed protein binders against 14 out of 15 targets.

We then worked with Adaptyv Bio and Twist Bioscience, who independently built and tested the proteins Claude designed.
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Yehlin Cho Verified account @ChoYehlin
πŸ‡°πŸ‡· In Korea for ICML 2026!

Speaking at:
β€’ AI4Science Gathering @ ICML (Keynote) - July 6, COEX
β€’ Seoul National University - July 8

If you're interested in AI, biology, or protein engineering, I'd love to connect. Feel free to reach out for a coffee or chat :)
5 replies 2 reposts 91 likes 5.9K views View on X