Martin Pacesa

Martin Pacesa

@martinpacesa.bsky.social

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

3.8K followers397 following326 posts

Martin Pacesa reposted

🔥Preprint alert!🔥 RNase E-dependent guide generation and activation of the SPARMA defense system Read the thread by Theo on how the short pAgo system SPARMA works, how pAgo guide RNAs are generated, and how pAgo autoimmunity is prevented. Preprint here: www.researchsquare.com/article/rs-1...

researchsquare.comRNase E-dependent guide generation and activation of the SPARMA defense systemThe evolutionary arms race between prokaryotes and their invaders has driven extensive diversification of defense systems. Prokaryotic Argonautes (pAgos) comprise a diverse family of defense systems i...
Théophile Niault@tniault.bsky.social

New preprint from my Post-Doc in the Swarts lab How are the guide RNAs generated that direct prokaryotic Argonautes to invading DNA? This has been an open question for >10 years. Our new study reveals that the host housekeeping enzyme RNase E is responsible! A 🧵: 1/14

Martin Pacesa reposted

Martin Pacesa reposted

ALT text “pink protein slides towards and then aggressively hugs smaller teal protein”

Martin Pacesa@martinpacesa.bsky.social

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...

Martin Pacesa reposted

State of the art for open source binder design

Martin Pacesa@martinpacesa.bsky.social

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...

Martin Pacesa reposted

Check out BindCraft2! Working on this project was a great way to start my PhD.

Martin Pacesa@martinpacesa.bsky.social

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...

Martin Pacesa reposted

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.

Martin Pacesa@martinpacesa.bsky.social

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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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

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.

Martin Pacesa reposted

Riboseek has now a WIP Marv Logo!

Martin Steinegger 🇺🇦@martinsteinegger.bsky.social

Riboseek is a fast RNA/DNA search. More sensitive than nhmmer at 250x speed. Structure-aware realignment produces MSAs approaching rMSA quality. Plus 1.7M precomputed RNA MSAs, and an API to search your own 📄 www.biorxiv.org/content/10.6... 💾 github.com/steineggerla... 🌐 search.foldseek.com/riboseek

Noooooooo, please not another one 😭😭😭😭 using MSAs for prediction will allow you to confidently fold any point mutant, it’s not actual validation

AI x Bio Discovery@aixbiobot.bsky.social

Structural bioinformatics of three Epstein-Barr Virus (EBV) Integral Membrane Proteins and their water-soluble QTY analogs [new] using QTY code, reduces hydrophobicity, preserves native structures for char & therapeutic research.

Martin Pacesa reposted

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.

Martin Pacesa reposted

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! ✨

Doudna Lab@doudna-lab.bsky.social

Our AI-guided design of RNA-guided nucleases is now out in @science.org 💻🧬 We used structure and evolutionary data to generate minimal, active and divergent gene editors! www.science.org/doi/10.1126/... Congrats to @petrskopintsev.bsky.social @isabelesain.bsky.social @evandeturk.bsky.social & team!

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!

Martin Pacesa@martinpacesa.bsky.social

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...

Martin Pacesa reposted

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 🧵

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.

Martin Pacesa@martinpacesa.bsky.social

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!

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!

Martin Pacesa@martinpacesa.bsky.social

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...

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.

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!

Martin Pacesa reposted

Martin Pacesa reposted

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.orgA generalizable interface-seeded framework for de novo design of functional oligomersProtein 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...

Martin Pacesa reposted

The paper is out which means the MD trajectories are finally available! #MolecularNodes #b3d #GeometryNodes

Jan Philipp Kreysing@jpkreysing.bsky.social

New preprint on 3D heterochromatin architecture in human cells! Great collab with @sergiocruzleon.bsky.social & @johannesbetz.bsky.social from @hummerlab.bsky.social, @marinalusic.bsky.social & the Turoňová lab. Many thanks to my supervisor @becklab.bsky.social. bioRxiv: tinyurl.com/3a74uanv 🧵👇

Martin Pacesa reposted

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.atToward Experiment-Guided AlphaFoldThe 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...

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.comstatic-content.springer.com
AI x Bio Discovery@aixbiobot.bsky.social

Structural Bioinformatics of Four Human Aquaporins and Their Water-Soluble QTY Analogs [new] ...demonstrates QTY code and structure prediction yield water-soluble membrane protein analogs preserving native fold and function.

Martin Pacesa reposted

Amazing stuff, what a structure! Elegant work😍

Silvia Ramundo@sramundo.bsky.social

1/7 New preprint: we found that Chlamydomonas carries a giant and unexpectedly elaborate chloroplast RNA polymerase with 12 previously unknown subunits, overturning the idea that the complexity of this organellar enzyme emerged during plant terrestrialization! www.biorxiv.org/content/10.6...

My favourite sequential folding video, featured on the homepage

Martin Pacesa@martinpacesa.bsky.social

Our lab website is finally online! pacesalab.com You can find information about our research, publications, and on-going developments in the lab.

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We have a page for resources where you can find some online tools we have built that everyone can use (such as the Matthew probability calculator), as well es editable PDF figures from some of our papers to use for your own figures.