Martin Steinegger 🇺🇦

@martinsteinegger.bsky.social

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

Why AI-assisted research might have a lower impact that some estimate? I tried to look back at the rise of the internet and its impact on scientific research as a comparison point. I should stop spending time on this but condensing this info also helps me think www.evocellnet.com/2026/06/look...

Looking back at the rise of the internet to gauge the impact of AI-assisted scientific research

There is a lot of debate and some hyperbole around the impact of AI-assisted scientific research. When considering the future impact of gene...

evocellnet.com

Excited to share our discovery of a new programmable RNA-guided DNA-targeting system hiding inside bacteriophages that predates CRISPR. We call it VIPR (Viral Interference Programmable Repeat), and it uses an entirely new logic to find its targets. Thread + link below.

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We introduce ConforNets, a mechanism for conformational control in AlphaFold3 models - SoTA at producing diverse conformations on every multistate benchmark (N=104) - Novel capability: transfer state from one protein to another Outperforms BioEmu, ConforMix and AFsample3 🧵1/8

The CASP experiment is about to start - and is still short on challenging prediction targets. Ligand complexes, RNA, …

Torsten Schwede@torstenschwede.bsky.social · 5mo ago

Is #AI hitting a plateau in structure prediction? Help us find out at CASP17! 🧪🧬 Calling for Targets: Immune Complexes, protein - ligand complexes, RNA/DNA, conformational ensembles, membrane proteins, viral origins, and large complexes. The Rule of Thumb: If AF3 can’t model it, we want it.

The Critical Assessment of Structure Prediction (CASP) experiment is calling for prediction targets: Immune Complexes, Organic Ligand-Protein Complexes, Nucleic Acids and Complexes, Conformational Ensembles, Difficult Protein Structures and Complexes. 
Rule of Thumb: If AlphaFold3 can generate a high-quality model, it is likely not a CASP-grade challenge. If it struggles, we want it.

10 years after the first FAMSA paper, its successor is now published in Nat Biotech! We believe that FAMSA2 can enable analyses of large protein collections that were previously unattainable. Thank you, Andrzej and Cedric, for great collaboration www.nature.com/articles/s41...

Fast and accurate multiple-protein-sequence alignment at scale with FAMSA2 - Nature Biotechnology

FAMSA2 accurately aligns millions of protein sequences at high speed.

nature.com