It was a fantastic trip and a pleasure talking with the Pfizer team 😄 One highlight was discovering they’ve built a web GUI for ROCKET to make it more accessible—I’m thrilled (and even a bit surprised) to see how our tool helping people solve real-world problems.
ROCKET came out on Nature Methods today. It takes a tremendous amount of effort to translate a research concept into a practical tool—one that researchers can seamlessly drop into their existing pipelines. We learned a lot along the path and will carry that spirit forward.
Introducing Genie 3, a generative protein model that substantially advances the state-of-the-art for binder design, increasing in silico success rates by up to 20x on hard multimeric targets. It also debuts a form of inference-time scaling unobserved in other design models. 🧵1/8
New OpenFold3 preview out! (OF3p2)
It closes the gap to AlphaFold3 for most modalities.
Most critically, we're releasing everything, including training sets & configs, making OF3p2 the only current AF3-based model that is functionally trainable & reproducible from scratch🧵1/9
Introducing MIMIC: a new foundation model trained natively across DNA, RNA and proteins. MIMIC is multimodal and generative: it can use structure, regulation, evolution, and experimental context to infer missing biology or design new sequences. 🧵⬇️
New TTPD with @fraserlab.com! We chat about travels, new preprints, and vibe coding.
podcasts.apple.com/us/podcast/b...
open.spotify.com/episode/6QCR...
Video
Minhuan Li
Video
Minhuan Li
Yeqing Lin
Mohammed AlQuraishi
Samuel Sledzieski
Stephanie Wankowicz
ROCKET 🚀 inference-time optimization of AlphaFold to fit structural data is published! rdcu.be/fa9YH
Since our preprint, we’ve pushed it to regimes where other methods break: low resolution, weak signal, real experimental edge cases. Here’s what we learned: 1/15
Nature Methods - ROCKET improves experimental structure elucidation by integrating implicit structural knowledge from OpenFold, a trainable reimplementation of AlphaFold2, with X-ray...
After an Amtrak coding session with @minhuanli.bsky.social, ROCKET team is back at @rs-station.bsky.social HQ! Thank you to Pfizer for welcoming us in Groton and to everyone who attended our seminar online. Exciting work ahead to continue exploring frontiers in structure determination. Back to it 🚀
