Martin Pacesa
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martinpacesa.bsky.social
Martin Pacesa
@martinpacesa.bsky.social
Assistant Professor at the University of Zurich.
🖥️ protein design, machine learning🤖, crystallography💎, cryoEM🔬. Avid weirdness connoisseur 🎩
Hail the chosen one
December 27, 2025 at 5:09 PM
December 26, 2025 at 1:25 PM
Yeah, I dont think it’s a good think to show. Generating crap faster is not a bonus 😅
December 20, 2025 at 3:40 PM
We could make a lot more trajectories pass if we wanted to, but we on purpose give it roadblocks along the way to make sure only very best interfaces pass. In a sense, every single hallucination iteration is a filtering step, while with diffusion you only have one step to get it right
December 20, 2025 at 8:45 AM
The main difference are the self consistency steps along the way: 5 multimer models randomly swapped during design, interface must be robust enough to survive MPNN redesign, final AF2 monomer model filtering (most important), etc. Pyrosetta doesnt do much tbh
December 20, 2025 at 8:42 AM
Congratulations Kiarash, that’s awesome!
December 10, 2025 at 6:14 AM
proteinbase.com/collections/...
Also vote for Rita's method, which may be the first MD affinity ranking method I have seen so far that works.
Submission 1
This is a submission to the Nipah Binder Competition competition.
proteinbase.com
December 3, 2025 at 9:11 AM
Thanks Nick 🤣 hope so
December 3, 2025 at 6:43 AM
Gratulujem Hanka!!!
December 2, 2025 at 5:25 PM