Reticular (YC F24)

Reticular is making protein design steerable and interpretable. @ycombinator F24

[Reticular (YC F24) @ReticularAI]

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 👇

[Reticular (YC F24) @ReticularAI]

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!

[Reticular (YC F24) @ReticularAI]

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 👇

[Reticular (YC F24) @ReticularAI]

Longer 🧵 breaking down our paper 👇
https://t.co/OfMxg7jQBX

[John Yang @johnyang100]

If you’ve ever

- thought AI protein folding is magical ✨
- wanted more than a pLDDT score 🔎
- or just think mech interp in bio is cool 🤓

then read the 🧵 👇 on our first paper towards interpretable protein structure prediction just accepted to workshops at ICLR

[John Yang @johnyang100]

@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.

[Reticular (YC F24) @ReticularAI]

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

[Y Combinator @ycombinator]

YC F24's @ReticularAI makes protein AI models controllable and interpretable to help steer protein design with limited biological data, reducing costly validation cycles.

https://t.co/vIesWS3rkh

Congrats on the launch, @NithinParsan and @johnyang100!