Assistant Professor at the University of Zurich. 🖥️ protein design, machine learning🤖, crystallography💎, cryoEM🔬. Anti-theist. Avid weirdness connoisseur 🎩

Zurich, Switzerland
ʙɪɴᴅᴄʀᴀꜰᴛ2 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/BindCra…
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Martin Pacesa retweeted
If you work with node trees in #b3d - I've saved you a lot of frustration. My talk for BCON2026 about my `nobdepy` python package has been posted to YT. Python code <--> Node trees Fixes collaboration and versioning of node assets #GeometryNodes
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Martin Pacesa retweeted
I’m a scientist. I need to say this because the AI hype is getting ridiculous. AI can design a molecule in seconds. That doesn’t mean it discovered a drug. It discovered something we scientists have never been short of: Something to test. Someone still has to make it. Run the experiment. Measure whether it works. Check whether it’s toxic. And ultimately prove it works in the real world. AI hype tells us: “Prediction is discovery.” “Simulation is experimentation.” “Generating a molecule is developing a drug.” It isn’t. AI is making ideas incredibly cheap. But every new idea creates something AI cannot generate: Evidence. And the more hypotheses AI produces, the more experiments we’re going to need. That’s the irony nobody seems to be talking about. AI may not make laboratories obsolete. It may make them more valuable than ever. You can speedrun the thinking. You can’t speedrun reality.
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Martin Pacesa retweeted
Replying to @MartinPacesa
I was honestly hoping for BindCraft: FoldWar, before a fully fledged BindCraft2.
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Design cheaper binders with BindCraft2 ❤️
I've been experimenting with BindCraft 2 and h/t @aaronmring it turns out that consumer GPUs on e.g. vast.ai can produce trajectories for really low cost! 2c/traj is incredible @MartinPacesa and his collaborators really optimized the hell out of this thing
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Martin Pacesa retweeted
BindCraft 2 reports ~22x lower GPU time per 100 passing designs. I was curious where that speedup actually comes from so I gave both repos to Astra. The result was NOT what I expected 🤯 JK, it kind of was. Here is what changed:
Replying to @MartinPacesa
We built a custom integrated engine that makes ʙɪɴᴅᴄʀᴀꜰᴛ2 dramatically faster than v1. And it isn't limited to structured domains: you can target disordered regions, short linear motifs, or a target given as a bare sequence.
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I found my new favourite painting
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Martin Pacesa retweeted
Bindcraft2 🤝 Claude 🤝 Adaptyv apply for our protein design competition and solve all the challenges docs.google.com/forms/d/e/1F…
ʙɪɴᴅᴄʀᴀꜰᴛ2 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/BindCra…
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Martin Pacesa retweeted
It's amazing to see BindCraft2 out and I'm even more excited to see what the community can do with it! We've found that Claude excels most when provided with a complex search space to navigate. BindCraft2 expands the search space of molecule design by enabling more modalities and targets, and it's faster. See what you and Claude can do with BindCraft2 in our competition co-sponsored with @adaptyvbio! Sign up here: docs.google.com/forms/d/e/1F… Learn more here: proteinbase.com/competitions…
ʙɪɴᴅᴄʀᴀꜰᴛ2 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/BindCra…
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Martin Pacesa retweeted
Huge congrats to @MartinPacesa and team for the first big release from his lab. BindCraft2 is absolutely 🔥. The speedups are amazing and there are so many added features. Plus it's completely free for academic and commercial use. 🐐
BindCraft2 from the @MartinPacesa lab is here and available now on Ariax! We called BindCraft a “DeepSeek moment” in protein design. BC2 builds on that proven foundation with major speed improvements and a much broader range of therapeutic formats. ariax.bio/resources/bindcraf…
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Martin Pacesa retweeted
Very excited for BindCraft 2! It's incredible to me that it feels like binder design took off like crazy over the past 18 mo, but BindCraft came out Oct 2024, and it's somehow still competitive with the best (see the Ant paper). Also a testament to the strength of AF2!
ʙɪɴᴅᴄʀᴀꜰᴛ2 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/BindCra…
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Target cross reactivity in the Adaptyv competition is a perfect use case for BindCraft2 natively. Try it out here: Overview + modalities: pacesalab.com/bindcraft Code: github.com/PacesaLab/BindCra… BindCraft1 variant by Lennart Nickel and Paul Kittner github.com/martinpacesa/Bind…
We're hosting a protein design competition with @adaptyvbio. We'll be providing up to $1M in Claude credits, and additional funding to experimentally validate 5k designs submitted by the community. All results will be published openly and participants keep ownership of their designs. We've selected five problems that push the boundaries of what is possible with today's capabilities: species cross-reactivity, pH-sensitivity, and peptide-MHC specificity, and difficult targets such as GPCRs. @modal will provide compute credits and @TwistBioscience will provide DNA. Apply here: docs.google.com/forms/d/e/1F…
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Martin Pacesa retweeted
And ʙɪɴᴅᴄʀᴀꜰᴛ2 is for everyone: we've teamed up with @adaptyvbio, @AriaxBio & @tamarindbio to host it, so anyone can run it without a GPU. Built by Erik Mäeots, @eliza_chernova , Leonardo Tredese & Jan Dernic. Special thanks to @sokrypton & Lennart Nickel. 🚀
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Martin Pacesa retweeted
Design modalities galore!
Replying to @MartinPacesa
ʙɪɴᴅᴄʀᴀꜰᴛ2 now designs almost any binder format: -mini & large binders -linear & cyclic peptides -VHHs, scFvs & Fabs -ankyrin repeat proteins (ARPs) -homo-oligomers & multidomain binders -induced-fit & fold-switch binders
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Martin Pacesa retweeted
BindCraft2 is out, ready to use on Tamarind on day one. The workflow expands on the original BindCraft substantially. Most notably, now supporting VHH, scFv, Fab, and seven other binder modalities, supporting multi-state targets, and multiple targets at once.
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Martin Pacesa retweeted
Back in 2024, BindCraft1 emerged as one of the strongest methods in our protein design benchmarks, winning our first EGFR competition and becoming one of the most widely used approaches in the following round. We’re happy to see BindCraft2 released just in time for our new protein design competition with Anthropic, where more than 5,000 designs will be experimentally tested in our lab. Show us what you can do with BindCraft2!
ʙɪɴᴅᴄʀᴀꜰᴛ2 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/BindCra…
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Martin Pacesa retweeted
Seeing the BC2 "leak" performing so well in the RBX1 competition felt a lot like seeing the recent Opus 5.5 leaks. Congrats to @MartinPacesa and the team for pretty much defining the current paradigm in de novo binder design!
Replying to @MartinPacesa
Already proven in competition: the top hit rate against the Nipah receptor-binding epitope, and the best of all approaches on RBX1. Much more wet-lab validation is coming in the preprint, with new features landing over the coming weeks. proteinbase.com/collections/…
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Martin Pacesa retweeted
BindCraft2 from the @MartinPacesa lab is here and available now on Ariax! We called BindCraft a “DeepSeek moment” in protein design. BC2 builds on that proven foundation with major speed improvements and a much broader range of therapeutic formats. ariax.bio/resources/bindcraf…
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ʙɪɴᴅᴄʀᴀꜰᴛ2 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/BindCra…
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And ʙɪɴᴅᴄʀᴀꜰᴛ2 is for everyone: we've teamed up with @adaptyvbio, @AriaxBio & @tamarindbio to host it, so anyone can run it without a GPU. Built by Erik Mäeots, @eliza_chernova , Leonardo Tredese & Jan Dernic. Special thanks to @sokrypton & Lennart Nickel. 🚀
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