Reticular (YC F24)
@ReticularAI
Reticular is making protein design steerable and interpretable. @ycombinator F24
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 👇
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.
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/ME3-r… Congrats on the launch, @NithinParsan and @johnyang100!