1/5 Ensembles are hot in structural biology! But here’s a question we don’t ask enough: What information survives measurement and processing? In our latest blog, @pilarcossio.bsky.social @emilthomasen.bsky.social and @minhuanli.bsky.social have a think 🤔: rs-station.github.io/2026/08/31/a...

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

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. 🧵⬇️

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.

Alisia Fadini@alisiafadini.bsky.social · 6mo ago

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

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.

Alisia Fadini@alisiafadini.bsky.social · 7mo ago

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 🚀

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

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...

Back to December

Podcast Episode · The Tortured Proteins Department · 01/27/2026 · 52m

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Check our new preprint smoothing rugged Cryo-EM landscapes: shorturl.at/gYs9U We tackle practical hurdles of Optimal Transport (OT) loss—differentiability, cost & noise sensitivity—make it a feasible inference workhorse. W/ G. Woollard, D. Herreros, @pilarcossio.bsky.social, K. Dao Duc 🧵👇 (1/9)

ROCKET's webinar on cryo-EM+crystal data-guided protein structure prediction is now online 🚀: www.youtube.com/watch?v=_29C... Thank you to the many of you who attended and stayed overtime for more Q&A, and especially to @sbgrid.bsky.social for hosting us last week!

ROCKET

YouTube video by SBGrid Consortium

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