Martin Steinegger 🇺🇦

@martinsteinegger.bsky.social

Developing data intensive computational methods • PI @ Seoul National University 🇰🇷 • #FirstGen • he/him • Hauptschüler

(Please repost) 💻 💊 I’m hiring a postdoc at the University of Arizona to work with me on a new NIH-funded project on how sex hormones change cell metabolism. The primary focus for the postdoc will be predicting drug side effects (off-target drug effects).

Our wet-lab validation campaign for Proteina-Complexa is now on bioRxiv! It includes some new exciting experimental results, from large protein structures (fully codesigned!) to functional carbohydrate binders. biorxiv.org/content/10.6... Thread with some of the additions 🧵1/n

Latent generative search unlocks de novo design of untapped biomolecular interactions at scale

De novo protein design has advanced rapidly, yet designing binders to polar, solvent-exposed epitopes and small, flexible ligands remains challenging. Such hydrated surfaces and flexible molecules, in...

biorxiv.org

I do sometimes wonder how much of these improvements are actually coming from us? During my own optimizations with claude in the last year or so, eachtime claude asked if i was willing to share my session transcript, I always said yes.

ColabFold 1.6.3 is out! 2.5x faster, pip-installable, ipSAE+pDockQ2 scores. Thanks Choonghwan Lee, Marielle Russo, Gyuri Kim 🐍pip install colabfold[alphafold] CF2 Sneak Peak with AF3/Boltz/Protenix/ESMFold2… 🐍pip install "colabfold[alphafold3]@git+https://github.com/sokrypton/ColabFold@af3-preview"

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AlphaFold2-WebGPU now supports AlphaFold-Multimer. As in ColabFold, simply use : to separate chains in the sequence input. It is also becoming much more stable: I was able to predict a 491-aa protein in ~4 minutes in M4 Pro. Chrome currently performs better than Firefox for WebGPU, unfortunately.

Martin Steinegger 🇺🇦@martinsteinegger.bsky.social · 3mo ago

Run AlphaFold2 locally in your browser via WebGPU, no installation needed, it's just a static webpage using your own GPU or CPU. Short proteins run in seconds. Larger ones are still slow: a 291-aa protein takes ~7 minutes on my M4 Pro. ❗It's just a PoC. 🌐 martin-steinegger.github.io/alphafold2-w...