Better predictions, better choices

Joined November 2024
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A First Step Towards Interpretable Protein Structure Prediction With SAEFold, we enable mechanistic interpretability on ESMFold, a protein structure prediction model, for the first time. Watch @NithinParsan demo a case study here w/ links for paper & open-source code ๐Ÿ‘‡
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A First Step Towards Interpretable Protein Structure Prediction With SAEFold, we enable mechanistic interpretability on ESMFold, a protein structure prediction model, for the first time. Watch @NithinParsan demo a case study here w/ links for paper & open-source code ๐Ÿ‘‡
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Longer ๐Ÿงต breaking down our paper ๐Ÿ‘‡ x.com/johnyang100/status/190โ€ฆ

13 Mar 2025
If youโ€™ve ever - thought AI protein folding is magical โœจ - wanted more than a pLDDT score ๐Ÿ”Ž - or just think mech interp in bio is cool ๐Ÿค“ then read the ๐Ÿงตย ๐Ÿ‘‡ on our first paper towards interpretable protein structure prediction just accepted to workshops at ICLR
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For anyone going to ICLR, we'll be presenting our poster at the GEM, LMRL, SciFM, XAI4Science, and MLMP workshops. Stop by if you're curious about bio interp!
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Reticular (YC F24) retweeted
11 Nov 2024
Replying to @NithinParsan
shoutout @liambai21 and @etowah0 for beating us to the punch on translating mech interp to protein language models. excited to see where these techniques will lead given the dense amt of coevolutionary structure info learned by these models.
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Incredibly excited to launch publicly as part of @ycombinator's Fall 2024 Batch. Send us a DM if you're in the interpretability space or working in biotech. @johnyang100 and @NithinParsan
YC F24's @ReticularAI makes protein AI models controllable and interpretable to help steer protein design with limited biological data, reducing costly validation cycles. ycombinator.com/launches/ME3โ€ฆ Congrats on the launch, @NithinParsan and @johnyang100!
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