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Roshan Rao

@roshanrao

Proteins, evolutionary models, unsupervised learning. Prev: Research Scientist MetaAI, PhD Berkeley. he/him.

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Posts 03.11.2023
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Latest posts by Roshan Rao @roshanrao

Model Scale vs. Performance curves for ESM C models, with comparisons to ESM2 and other protein LMs. ESMC performs better than existing state of the art for the same model parameter scale.

Model Scale vs. Performance curves for ESM C models, with comparisons to ESM2 and other protein LMs. ESMC performs better than existing state of the art for the same model parameter scale.

Introducing ESM Cambrian, a new family of protein language models, focused on creating representations of the underlying biology of proteins.

04.12.2024 17:45 👍 51 🔁 16 💬 1 📌 2

Many thanks to the organizers of this year’s NeurIPS MLSB workshop for a really nice event! @roshanrao.bsky.social @hkws.bsky.social @gcorso.bsky.social @ginaelnesr.bsky.social @sokrypton.org and Ellen Zhong (is she on here?) Hopefully see you all next year

17.12.2023 13:39 👍 15 🔁 2 💬 0 📌 0
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Now @ MLSB: Rhiju Das
World-wide competitions and the RNA folding problem

15.12.2023 20:54 👍 1 🔁 0 💬 0 📌 0
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Next @ MLSB: DiffDock-Pocket: Diffusion for Pocket-Level Docking with Sidechain Flexibility
Michael Plainer • Marcella Toth • Simon Dobers • @hannes-stark.bsky.social • @gcorso.bsky.social • Céline Marquet • Regina Barzilay
www.mlsb.io/papers_2023/...

15.12.2023 20:22 👍 8 🔁 1 💬 0 📌 0
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Now: Jason Yim / Brian Trippe
De novo design of protein structure and function with RFdiffusion

15.12.2023 19:38 👍 0 🔁 0 💬 0 📌 0
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Now: Gevorg Grigoryan
Illuminating protein space with a programmable generative model

15.12.2023 18:47 👍 1 🔁 0 💬 0 📌 0
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Now @ MLSB: Polly Fordyce
Leveraging microfluidics for high-throughput and quantitative biochemistry and biophysics

15.12.2023 17:02 👍 1 🔁 0 💬 0 📌 0
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Next up @ MLSB - Contributed Talk DSMBind: an unsupervised generative modeling framework for binding energy prediction
Wengong Jin · Caroline Uhler · Nir Hacohen
www.mlsb.io/papers_2023/...

15.12.2023 16:48 👍 0 🔁 0 💬 0 📌 0
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Next up @ MLSB - Contributed Talk: AlphaFold Meets Flow Matching for Generating Protein Ensembles
Bowen Jing · Bonnie Berger · Tommi Jaakkola
www.mlsb.io/papers_2023/...

15.12.2023 16:26 👍 4 🔁 1 💬 0 📌 0
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Now: Bridget Carragher
A CryoET Data Portal to Foster a Collaboration between the Machine Learning and CryoET Communities

15.12.2023 16:07 👍 1 🔁 1 💬 0 📌 0
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Now: Tanja Kortemme
Accurate and tunable de novo protein shapes for new functions

15.12.2023 15:22 👍 0 🔁 0 💬 0 📌 0
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Next up - Contributed Talk: Validation of de novo designed water-soluble and membrane proteins by in silico folding and melting
Alvaro Martin · Carolin Berner · Sergey Ovchinnikov (@sokrypton.org) · Anastassia Vorobieva
www.biorxiv.org/content/10.1...

15.12.2023 15:11 👍 0 🔁 0 💬 0 📌 0
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MLSB has started! Join us for an exciting day of invited talks, posters, and a panel with our invited speakers on the future of MLSB!

Speaking now - Kyunghyun Cho 🤩. Health system scale language models for clinical and operational decision making.

Room: 208-210.

15.12.2023 14:50 👍 4 🔁 1 💬 0 📌 0