ninjani.bsky.social
Deep learning for protein structure, interactions and design. University of Lausanne https://pickybinders.org
👤 Joined on 24 October 2023
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@ninjani.bsky.socialʙɪɴᴅᴄʀᴀꜰᴛ2 is out, and we're not waiting for the paper. The full code drops today, free for academic and industry use. We're releasing it early so you can start designing right now, and bring its full power to the current Adaptyv competition. github.com/PacesaLab/Bi...
Show PostDon't miss the opportunity! Jay's research is inspiring, and Lausanne... come on!
Show PostFinally a more intuitaive way to learn pLDDT/pAE? 😎 sokrypton.github.io/protein_figh... (Character idea from @hannes-stark.bsky.social & Alex Waldherr)
Show PostIt’s especially interesting because competing companies could likely compare O3 before and after refinement to infer the targets and ligands others are working on.
Show PostCan we predict the stoichiometry of proteins in a complex from their sequences - fast and accurately? Congratulations to the #ECCB2026 🧬 proceedings paper award 🎉 @daniil-litvinov.bsky.social @ninjani.bsky.social @cellarchlab.com academic.oup.com/bioinformati...
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