Meet evedesign: open-source AI, accessible protein design ✅Combine models for multiobjective optimization ✅Integrate experimental data ✅ Run on your own infrastructure 📄Paper: www.biorxiv.org/content/10.6... 💻Code: github.com/evedesignbio 🌐Webserver: evedesign.bio Collaborate: [email protected]

New paper “Proteome-wide model for human disease genetics” is now live at Nature Genetics: rdcu.be/eRu7K popEVE (pop.evemodel.org) finds the needles in the haystacks of human genetic variation:

Try it! Give feedback -and be kind, it's beta ...

My new paper "Deep Learning is Not So Mysterious or Different": arxiv.org/abs/2503.02113. Generalization behaviours in deep learning can be intuitively understood through a notion of soft inductive biases, and formally characterized with countable hypothesis bounds! 1/12

RNA, RNA, RNA -> RNAGym! read all about it! biorxiv.org/content/10.110… Been a long time goal of @deboramarks.bsky.social We tried a million years ago, sciencedirect.com/science/articl��� Now total refresh led by Rohit Arora and Murphy Angelo and Pascal Notin for pulling together!!

Which RNAs are functional? Been a long time goal of @deboramarks.bsky.social to start an RNA sequence —> function and structure mapping. Huge thx to team for pushing on this when - led by Rohit Arora and Murphy Angelo for seeing this thru and Pascal Notin for pulling together!!!

End-to-end differentiable homology search for protein fitness prediction. @yaringal.bsky.social @deboramarks.bsky.social @pascalnotin.bsky.social arxiv.org/abs/2506.089...

This, by Michael Lynch. I'd include AI techbros as well. www.pnas.org/doi/10.1073/...

Weekly: Great papers across the centuries and subjects! Relaxing! fermatslibrary.com/journal_club

Just under a week until the #MLCB2025 paper/abstract deadline on June 1st! In-person registration is full but you can join the wait list forms.gle/gnj6AAV7oWj6... or watch online at youtube.com/@mlcbconf. Sept 10-11 at @nygenome.org. Full deets at mlcb.org! Please RP.

New preprint in collaboration with @paulinanunezv.bsky.social supervised by @jonnyfrazer.bsky.social and Mafalda Dias – we propose a simple approach to improving zero-shot variant effect prediction in pre-existing protein and genome language models: 🧶 1/n www.biorxiv.org/content/10.1...

Want to improve your protein or genomic language model’s performance at zero-shot variant effect prediction? We propose a simple adjustment to likelihood-based predicton

From Likelihood to Fitness: Improving Variant Effect Prediction in Protein and Genome Language Models https://www.biorxiv.org/content/10.1101/2025.05.20.655154v1

Is a photo subversive? NSF staff overcome obstacles to 75th anniversary portrait | Science | AAAS www.science.org/content/arti...

And now, the final talk of #VariantEffect25. @roseorenbuch-art.bsky.social from Harvard Medical School presents work from our long-standing collaboration, and one that’s very close to my heart: Proteome-wide model for human disease genetics