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It's tough times for science. 🥺 But we have to keep innovating to fight another day, and today I'm so proud to share Fred Zhangzhi Peng's new, groundbreaking sampling algorithm for generative language models, Path Planning (P2). 🌟 📜: arxiv.org/abs/2502.03540 💻: In the appendix!!

Excited to share PoET-2, our next breakthrough in protein language modeling. It represents a fundamental shift in how AI learns from evolutionary sequences. 🧵 1/13

AI provides a universal framework that leverages data and compute at scale to uncover higher-order patterns Today, Arc Institute in collaboration with NVIDIA releases Evo 2—a fully open source biological foundation model trained on genomes spanning the entire tree of life 🧵

🔥 Benchmark Alert! MotifBench sets a new standard for evaluating protein design methods for motif scaffolding. Why does this matter? Reproducibility & consistent evaluation have been lacking—until now. Paper: arxiv.org/abs/2502.12479 | Repo: github.com/blt2114/MotifB… A thread ⬇️

Can confirm that Etowah Adams is awesome :-)

Alisia Fadini Minhuan Li ROCKET sounds like a game-changer for structural biology! Combining AlphaFold with crystallographic & cryoEM/ET data to refine models at scale is a huge step forward. Looking forward to seeing how this approach tackles the challenges of turning raw data into atomic models.

Today we launched the Stanford RNA 3D Folding challenge! Kaggle Stanford Medicine @HHMINews kaggle.com/c/stanford-rna… (1/N)

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

Excited to share our preprint “BoltzDesign1: Inverting All-Atom Structure Prediction Model for Generalized Biomolecular Binder Design” — a collaboration with Martin Pacesa, Zhidian Zhang , Bruno E. Correia, and Sergey Ovchinnikov. 🧬 Code will be released in a couple weeks

I'm defending my PhD thesis tomorrow in the Stata building at MIT (4th floor, Star room) from 1 to 2 pm ET! I’ll be sharing the progress we’ve made over the past few years in modeling biomolecular interactions. Come by if you’re around — everyone is welcome!

🚀 Excited to release a major update to the Boltz-1 model: Boltz-1x! Boltz-1x introduces inference-time steering for much higher physical quality, CUDA kernels for faster, more memory-efficient inference and training, and more! 🔥🧵

Proud that this work was accepted at ICML as a spotlight poster! Reminder that you can just do things, especially in interpretability. Etowah Adams and I did most of this work in colab notebooks that cost a few dollars a month.

JJ has a twitter now! Exciting! #ai4science

Our new preprint, "SoftAlign: End-to-end protein structure alignment," is now on bioRxiv! biorxiv.org/content/10.110…