iiinova — where your digital self keeps evolving

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Reciprocal Space Station @rs-station.bsky.social · 04/09/2026

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...

rs-station.github.io

Are We Capturing the Ensemble? | RS Station

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Yeqing Lin @yeqinglin.bsky.social · 08/05/2026

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

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Samuel Sledzieski @samsl.io · 28/04/2026

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. 🧵⬇️

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Minhuan Li @minhuanli.bsky.social · 02/04/2026

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.

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Minhuan Li @minhuanli.bsky.social · 13/03/2026

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.

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Mohammed AlQuraishi @moalquraishi.bsky.social · 13/03/2026

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

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Stephanie Wankowicz @stephanieaw.bsky.social · 27/01/2026

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...

podcasts.apple.com

Back to December

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

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Minhuan Li @minhuanli.bsky.social · 02/01/2026

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)

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Alisia Fadini @alisiafadini.bsky.social · 20/10/2025

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!

youtube.com

ROCKET

YouTube video by SBGrid Consortium

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