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Martin Pacesa

@martinpacesa.bsky.social
3.8K followers 397 following 323 posts

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

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Martin Pacesa @martinpacesa.bsky.social · 01/10/2026
Fingers crossed!!
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Martin Pacesa @martinpacesa.bsky.social · 21/09/2026
Different ranking and encoding, one of the stages has been changed as well to improve it, but otherwise pretty similar for basic hallucination.
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Martin Pacesa @martinpacesa.bsky.social · 21/09/2026
No dependencies that need a license. Only restriction is if you are a compute service provider hosting BC2 code, otherwise free for industry for asset development and internal usage
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Martin Pacesa @martinpacesa.bsky.social · 21/09/2026
No escape from our binders
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Simon Bayly @simonbayly.bsky.social · 21/09/2026
ALT text “pink protein slides towards and then aggressively hugs smaller teal protein”
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Jase Gehring @skyjase.bsky.social · 21/09/2026
State of the art for open source binder design
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Elizaveta Chernova @liza-ch.bsky.social · 21/09/2026
Check out BindCraft2! Working on this project was a great way to start my PhD.
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Dr. Märt-Erik Mäeots @erikmaeots.bsky.social · 21/09/2026
Great pleasure to have worked on this! Design peptides, miniproteins, megaproteins, nanobodies, ScFvs, anything you want all under one roof of BindCraft2. And it's easier, faster, and better than ever! Includes multitargeting against multiple different proteins as well.
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Martin Pacesa @martinpacesa.bsky.social · 21/09/2026
And ʙɪɴᴅᴄʀᴀꜰᴛ2 is for everyone: we've teamed up with @adaptyv.bio, AriaX Bio & Tamarind Bio to host it, so anyone can run it without a GPU. Built by @erikmaeots.bsky.social, @liza-ch.bsky.social , Leonardo Tredese & Jan Dernic. Special thanks to @sokrypton.org & Lennart Nickel. 🚀
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Martin Pacesa @martinpacesa.bsky.social · 21/09/2026
Want the full picture? It's all here: Overview + modalities: pacesalab.com/bindcraft Wiki + design guide: github.com/PacesaLab/Bi... Run it now on Colab: colab.research.google.com/github/Paces...
pacesalab.com
BindCraft2 | Pacesa Lab
BindCraft2 is the next generation of our platform for user-friendly de novo protein binder design. Like the original, it was built to make binder design easy…
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Martin Pacesa @martinpacesa.bsky.social · 21/09/2026
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/...
proteinbase.com
GEM x Adaptyv: RBX1 Binder Design Competition - Results
Results from the GEM x Adaptyv RBX1 Binder Design Competition.
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Martin Pacesa @martinpacesa.bsky.social · 21/09/2026
What we're most excited about: multi-target optimisation. One binder against several targets, with detargeting to avoid off-targets and paralogs. Lennart Nickel and Paul Kittner release a complementary cross-species approach that plugs onto BC1 for existing workflows. github.com/martinpacesa...
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Martin Pacesa @martinpacesa.bsky.social · 21/09/2026
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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Martin Pacesa @martinpacesa.bsky.social · 21/09/2026
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 @martinpacesa.bsky.social · 21/09/2026
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/Bi...
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Martin Pacesa @martinpacesa.bsky.social · 21/09/2026
I also mix up Spanish and Japanese all the time, somehow in my brain they are equivalent.
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Sergey Ovchinnikov @sokrypton.org · 14/09/2026
Finally a more intuitaive way to learn pLDDT/pAE? 😎 sokrypton.github.io/protein_figh... (Character idea from @hannes-stark.bsky.social & Alex Waldherr)
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Martin Pacesa @martinpacesa.bsky.social · 14/09/2026
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Hauke Hillen @haukehillen.bsky.social · 11/09/2026
Happy to share our new preprint on the structure of the human mitochondrial RNA degradosome, a central player in organellar RNA metabolism! Work led by graduate student @paulafprado.bsky.social in our group. www.biorxiv.org/content/10.6... 🧵 1/9
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Janani Durairaj (Jay) @ninjani.bsky.social · 28/08/2026
Some exciting news: I'm joining the University of Lausanne @unil.bsky.social @dbc-unil.bsky.social as an Assistant Professor next month 🎉 My group will work on context-aware deep learning for protein structure, interaction & design. Postdoc and PhD openings coming soon - keep an eye out!
compare, predict, design
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Martin Pacesa @martinpacesa.bsky.social · 24/08/2026
I could do away with MD altogether 🤓
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Martin Pacesa @martinpacesa.bsky.social · 22/08/2026
Thank you for your message. We are out of office until the 31st of August, with limited access to email and social media. We will get back to you at the earliest possible European working day.
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Martin Pacesa @martinpacesa.bsky.social · 05/08/2026
I think their own wetlab validation will come in soon too
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Martin Pacesa @martinpacesa.bsky.social · 05/08/2026
I was not involved 😁
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Martin Pacesa @martinpacesa.bsky.social · 04/08/2026
We are looking for a lab manager starting from January 2027, you can find more information on our members page pacesalab.com#members. We are also starting to look into hosting master students starting 2027.
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Martin Steinegger 🇺🇦 @martinsteinegger.bsky.social · 03/08/2026
Riboseek has now a WIP Marv Logo!
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Martin Pacesa @martinpacesa.bsky.social · 27/07/2026
Depenes what you consider msa-free. It language model based then even worse. Single sequence modes can be mutation sensitive though not always. Most structure predictors are not just due to training
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Martin Pacesa @martinpacesa.bsky.social · 25/07/2026
Noooooooo, please not another one 😭😭😭😭 using MSAs for prediction will allow you to confidently fold any point mutant, it’s not actual validation
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Joe Greener @jgreener64.bsky.social · 17/07/2026
Function of a protein: something the protein does. Function in maths: a mapping from X to Y. Function in code: re-use code to do a task. Function at a conference: have a drink and look at posters.
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Petr Skopintsev @petrskopintsev.bsky.social · 17/07/2026
Proud to present our work, published today in @science.org! My deepest gratitude to @isabelesain.bsky.social, @evandeturk.bsky.social, Jennifer and our collaborators in the Doudna, Cate, Banfield, and Jacobsen labs, and the @innovativegenomics.bsky.social! I hope you enjoy reading it! ✨
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Max Planck Institute for Medical Research @mpi-mr.bsky.social · 13/07/2026
📣 Join us for the next Rudolf Mößbauer Colloquium this Friday at 10 am at our institute! We are pleased to welcome @martinpacesa.bsky.social (University of Zurich)! Everyone interested is welcome to attend in person. #mpimr #maxplanck #RMC #Colloquium
Poster of Rudolf Mößbauer Colloquium with Martin Pacesa at MPI for Medical Research
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Martin Pacesa @martinpacesa.bsky.social · 11/07/2026
The fold complexity scoring game has been updated with additional aspects of protein complexity according to suer feedback! All the scores have been recalculated and at least to me seem to correlate better with the apparent complexity of the fold! Happy voting!
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Gregor Weiss @weiss-lab.bsky.social · 10/07/2026
Some bacteria do not live as individuals. They build multicellular filaments and connect neighboring cells through tiny cell-cell junctions. Cyanobacteria are among the most beautiful examples 😍 In our new paper, we reveal first molecuar insights on the cyanobacterial septal junction architecture 🧵
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Martin Pacesa @martinpacesa.bsky.social · 08/07/2026
Lots of votes already! Thank you everyone! I have again updated the set of structures based on the great feedback from people. You should have an easier time voting now and it includes more interesting structures.
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Martin Pacesa @martinpacesa.bsky.social · 08/07/2026
One seems to be easier than the other
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Martin Pacesa @martinpacesa.bsky.social · 08/07/2026
First update and score calibration, seems the base metric only agrees with humans 73.5% of the time! I have updated the set of structures which should make it more intuitive to vote. Hopefully we can improve the metric to a better agreement!
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Rosetta Commons @rosettacommons.bsky.social · 07/07/2026
In the search to find a good metric for complex protein folds, the Pacesa Lab has created the FoldComplexity voting site. The results from weekly voting will be used to update subsamples of protein chains in the PDB to help better calibrate the metric. Check it out: pacesalab.com/foldcomplexity
An announcement of the FoldComplexity voting site. The image shows a screenshot of the site which compares two images of protein folds and asks why the one selected is more complex. The text says “FoldComplexity Voting Site, What makes one protein fold more complex than another? Vote and share your thoughts to help the Pacesa Lab create a metric for analyzing complex protein folds, cast your vote at pacesalab.com/foldcomplexity.” The background is a light teal with some hexagons in the top left and bottom right and the Rosetta Commons logo is in the top right corner.
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Martin Pacesa @martinpacesa.bsky.social · 07/07/2026
There are currently several components based on human estimation of what makes a complex protein fold. Please send us feedback if you think we are missing something or currently severely underestimating one of the factors! Happy voting!
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Martin Pacesa @martinpacesa.bsky.social · 07/07/2026
We have also added a subsample of 1000 protein chains form the PDB to help better calibrate the metric and see if one protein feels complex enough, relative to other folds. This will be updated weekly to account for your votes, until we reach a good value.
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Martin Pacesa @martinpacesa.bsky.social · 07/07/2026
We often talk about complex protein folds but what does that really mean? Turns out we don't have a good metric for it. So we made a game to make one! Head over to our website to vote on which fold you think is more complex and why! pacesalab.com/foldcomplexi...
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Pedro Beltrao @pedrobeltrao.bsky.social · 06/07/2026
My department @eth-dbiol.bsky.social at ETH Zurich is hiring for a tenured professor in mol cell bio and biochemistry (associate/full). The position is within the Institute of Biochemistry (www.bc.biol.ethz.ch) and it is fairly open within their scope of research. www.nature.com/naturecareer...
nature.com
Professor of Molecular Cell Biology and Biochemistry - Zurich, Switzerland job with ETH Zurich | 12861386
The Department of Biology at ETH Zurich invites applications for the above-mentioned tenured professorship at the Institute of Biochemistry
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Khmelinskaia Lab @akhmelinlab.bsky.social · 05/07/2026
De novo designed oligomers that respond to copper, small molecules, and phosphorylation... Using a single design strategy? 🧬⚙️ 🎉 Excited to share our new bioRxiv preprint—a collaboration between the Khmelinskaia, Correia, Schoeder and a Tinnefeld labs! www.biorxiv.org/content/10.6...
biorxiv.org
A generalizable interface-seeded framework for de novo design of functional oligomers
Protein oligomers are ubiquitous in biological systems and essential for function. However, the de novo design of oligomers that controllably assemble in response to exogenous stimuli remains challeng...
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Brady Johnston @bradyajohnston.bsky.social · 03/07/2026
The paper is out which means the MD trajectories are finally available! #MolecularNodes #b3d #GeometryNodes
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Institute of Science and Technology Austria (ISTA) @istaresearch.bsky.social · 29/06/2026
AlphaFold—an AI tool that revolutionized structural biology and earned the 2024 Nobel Prize in Chemistry—was trained on static crystal structures that dominate protein datasets. However, proteins are highly dynamic molecules. Read more: ista.ac.at/en/news/towa...
ista.ac.at
Toward Experiment-Guided AlphaFold
The AI-based program AlphaFold predicts a protein’s 3D structure with remarkable accuracy. However, it tends to reduce heterogeneous structures to a single dominant conformation, or shape, and overloo...
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Institute of Science and Technology Austria (ISTA) @istaresearch.bsky.social · 29/06/2026
First author, ISTA PhD student Advaith Maddipatla. Co-leading authors: @alex-bronstein.bsky.social, Ailie Marx, @paulschanda.bsky.social, and @sankethvedula.bsky.social.
ISTA researchers guide AlphaFold with experimental data, paving the way for improved future predictive models. Left to right: Advaith Maddipatla, Meital Bojan, Alex Bronstein, Nadav Sellam Bojan, and Paul Schanda. © ISTA
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Mikko Taipale @miketilapia.bsky.social · 30/06/2026
Our evil ORFeome paper is out! In collaboration with @alex-stark.bsky.social, we screened ~4,000 viral proteins and secreted effectors from bacteria and parasites, covering hundreds of diverse pathogens, for phenotypes in human cells.
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Chi-Min Ho @cmholab.bsky.social · 30/06/2026
Incredibly proud of Messi Haile @mehsehret.bsky.social, a founding member of the Ho Lab, for her beautiful work uncovering the inner workings of a central piece of the malaria parasite invasion machinery: the malarial moving junction, out today in @cellpress.bsky.social! tinyurl.com/4p3md2eb 🦠❄️🔬
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Martin Pacesa @martinpacesa.bsky.social · 30/06/2026
I have reviewed so many of these QTY papers and even wrote an extensive rebuttal on it in our own solubilisation paper (static-content.springer.com/esm/art%3A10...). Making mutations and predicting WITH MSAs is NOT validation, you can predict any nonsense sequence with low RMSD with MSA enabled.
static-content.springer.com
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Martin Pacesa @martinpacesa.bsky.social · 24/06/2026
Bad timing to start my lab around the GTA VI release. At least Elder Scrolls 6 and Fallout 5 won’t come out before tenure evaluation.
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Oli Clarke @olibclarke.bsky.social · 24/06/2026
Amazing stuff, what a structure! Elegant work😍
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