Extremely exciting day for open science. Another reason to be bullish on UK AI. Boltz, a startup that emerged out of MIT to be at the frontier of small molecule and protein design, has moved to London. I hear cases like this from a few founders, often a mix of fundamentals (talent)+personal.

New blog 💙: I reflect on why I worked on what I worked on... I think a PhD is a very special time. You get to challenge yourself, push your boundaries, and grow. My thoughts go against the current AI/academia narrative online, so I hope you find it interesting. chaitjo.substack.com/p/phd-thesis...

Big news from Boltz today: we’re launching Boltz Lab, a new platform with new small-molecule + protein design agents, announcing Boltz PBC and a $28M seed round, and sharing a multi-year partnership with Pfizer. More below!

Introducing gRNAde: our own little "AlphaGo Moment" for RNA design! 🧬🚀 📝: tinyurl.com/gRNAde-paper Unlike proteins, RNA design has long relied on "wisdom of the crowd" (human experts) or the slow crawl of directed evolution — gRNAde changes that! 🧵👇

Join us today at MIT from 5pm-6pm for a seminar for BoltzGen, which is free and open to the public! Looking forward to seeing you all later today! 🤩 If you plan to attend, don't forget to RSVP so we can plan accordingly: luma.com/7474iho2 #AISky #AcademicSky

One cool thing about BoltzGen is the flexibility of the conditioning information you can provide (e.g. "constrain the structure of these residues and also these but let their relative placement vary"). I'm really curious to see what the community does with it! github.com/HannesStark/...

Very happy @roman-bushuiev.bsky.social and I joined the amazing team led by @hannes-stark.bsky.social to work on BoltzGen, a generative model for binder design based on Boltz-2. Excited what it will enable!

Thrilled to contribute to this exciting work on protein binder design together w/ @hannes-stark.bsky.social , Felix Faltings, Regina Barzilay, Tommi Jaakkola, and co. We applied BoltzGen to design novel antimicrobial peptides targeting DNA gyrase based on inhibitory protein fragments. (1/n)

BoltzGen now published and available as MIT licensed software

I’ve been testing BoltzGen a bit recently and while I haven’t done any experimental testing yet, the quality of the software is very clear. It installs, runs, logs everything, has tons of options. Very excited to test out the designs irl!

Excited to release BoltzGen which brings SOTA folding performance to binder design! The best part of this project is collaborating with a broad network of leading wetlabs that test BoltzGen at an unprecedented scale, showing success on many novel targets and pushing the model to its limits!

Pretty surreal when out of the blue you see your model up on an ad on highway billboards and airport screens 🤯 (pictures from San Diego Airport and a highway in SF)

Boltz v2.2.1 out. A few improvements including support for .pdb templates, better treatment of stereochemistry in guidance potentials, and improved documentation. As always a great thank you to all those in the community who contributed via PR, raising issues or directly reporting issues to us.

Sitting at the #AITHYRA symposium hearing about incredible new high-throughput datasets 🤯! If you have developed new data that you think could improve Boltz, e.g. protein small-molecule affinity, protein protein affinity, binding site (eg via proteomics), let's work together! 🤗

Here's how to predict binding of tens or hundreds of small molecules to protein assemblies using Boltz 2 in ChimeraX. Accuracy depends on how similar the ligands and binding pockets are to existing experimental structures. www.rbvi.ucsf.edu/chimerax/dat...

On #Boltz and #drugdesign by @gcorso.bsky.social #PragueBioML @elixircz.bsky.social

If you use Boltz1/2, BioEmu, Chai1, or other MSA-dependent models, you’re likely using our ColabFold server. Please be considerate! Avoid large submissions across many IPs instead generate the MSA locally. Our server is an old-timer from 2014 and can’t handle that load.

ChimeraX daily builds can predict binding affinity of small molecules using Boltz 2 on your Mac, Windows or Linux computer. www.rbvi.ucsf.edu/chimerax/dat...

Excited to share our work on modeling the human protein interactome in 3D. This currently includes 1,394 interaction structures predicted with Boltz-2. Grateful for the open-access resources making this possible! Preprint: doi.org/10.1101/2025...

Boltz-2 : Towards accurate and efficient binding affinity prediction by @gcorso.bsky.social Saro Passaro and Jeremy Wohlwend youtu.be/iHDauMATkr0?...

Nice interview of Phil Sharp on the controversial birth of biotech and recombinant DNA with some great analogies to the current discourse on AI and gene editing! - YouTube www.youtube.com/watch?v=LLij... - Spotify spotifycreators-web.app.link/e/NNmzqnTjgUb - Apple podcasts.apple.com/us/podcast/h...

Thank you everyone for attending the Boltz-2 Boston, San Francisco and Paris events this week! Given the success of the in-person seminars and the many requests, we are organizing a virtual seminar on Tuesday at 12pm ET / 6pm CET! Sign up here: lu.ma/4bpuwbsr

A new AI model jointly predicts protein structure and binding affinity, enabling rapid, accurate screening of small molecules and accelerating early-stage drug discovery. Boltz-2 is now open source.

Open science, activated. Since the release of Boltz-2 last Friday – the new open-source protein structure and protein binding affinity model from MIT & Recursion – we’ve been introducing the model to the broader community and the reception has been terrific. 🧵

On June 18 at the Molecular Machine Learning Conference (MoML) at MILA, Gabriele Corso, one of the lead researchers behind Boltz-2, will present more on this latest breakthrough in AI drug discovery alongside researchers from Valence. 👉 Learn more: portal.ml4dd.com #MOML2025

Boltz-2 just dropped: open-source AI that predicts both protein complex folds ✚ binding affinities in one shot 🚀 This is a win for protein AI, but let's not forget MSAs, the bioinformatics backbone many structure models lean on.

We added Boltz-2 to our protein design package! Under the hood this relies on a JAX translation, which, thanks to @jeremywohlwend.bsky.social and @gcorso.bsky.social ’s clean code, was fairly easy to write. We’ve been getting great results -- and we have yet to explore the most exciting new features

It's exciting to see our software used as a benchmark for cutting-edge AI methods!

A team led by Regina Barzilay, a computer science professor at MIT, has launched Boltz-2, an algorithm that unites protein folding and prediction of small-molecule binding affinity in one package. cen.acs.org/pharmaceutic... #chemsky 🧪

What a turnout! 🤯 Thank you to the 400+ attendees who came to listen to the first-ever Boltz-2 presentation in-person and for asking great questions! We look forward to seeing how Boltz-2 will empower future research in biomolecular structure prediction! 🧬🔥 #AIsky

Boltz-2 is here—and it’s poised to transform preclinical drug development. We were lucky to get a preview from Regina Barzilay at our 2025 Scientific Symposium, and we’re proud to support her work on the @cancergrand.bsky.social Matchmakers team. www.cancergrandchallenges.org/news/boltz-2...

'93 Nobel Prize laureate and Jameel Clinic Advisory Board Chair Phil Sharp breaks down why Boltz-2 is so groundbreaking. Join @gcorso.bsky.social + @jeremywohlwend.bsky.social today @ 4pm in Stata Center for their talk on Boltz-2! 🗓️RSVP: jclinic.mit.edu/events/unvei... 🎬: youtu.be/YDrFggLBEQw?...

This sounds really interesting! Eager to test it with some structures we have lying around. 👍

Wow that was fast!! Looking forward to seeing this! @nboyd.bsky.social

Designed my (the?) first minibinder using @gcorso.bsky.social 's new Boltz-2 model. Excited to explore how templates and increased MSA dropout impact binder design. This is work in progress but will be open sourced as usual

Truly remarkable work. Looking forward to using it!

Lots of work seems to have gone into the Boltz-2 data curation process to learn binding affinities

More on Boltz-2, the new open source AI model from MIT & Recursion capable of predicting protein binding affinity w/ unprecedented speed, scale & accuracy -- the 1st model to combine structure & binding affinity prediction, approaching FEP accuracy w/ 1000X the speed. www.youtube.com/watch?v=gRtr...

🤩🤩🤩 Boltz-2!!

A Boltz-specifiic slack: boltz.bio/join-slack

Trying out the Boltz-2 affinity prediction on the Exatecan binders we generated with LASErMPNN and NISE. Affinity prediction still clearly has room to improve, but the model seems to be able to identify the highest affinity mutant in this small dataset. Thanks to @gcorso.bsky.social and team! 1/2

Thank you everyone for the feedback on Boltz-2 and especially to those who have already helped us fix some elements of the repo! To keep the discussion going, please join our Slack community channel boltz-community.slack.com/join/shared_... and the events in Boston, SF, Paris and Montreal! 👇

Delighted to announce the release of Boltz-2, which demonstrates unprecedented accuracy in predicting structure and binding affinity! Congrats to Sara Passaro, @gcorso.bsky.social + @jeremywohlwend.bsky.social on this stunning achievement! 📄Paper: bit.ly/boltz2-pdf 💻Code: github.com/jwohlwend/bo...

Join @gcorso.bsky.social and @jeremywohlwend.bsky.social on Monday, June 9 @ 4pm in the Stata Center for their presentation on the future of biomolecular modeling! 🗓️RSVP: jclinic.mit.edu/events/unvei...

Binding affinities with #Alphafoldology using Boltz-2 ligands and ensembles included

Boltz-2 now predicts molecular binding affinity at newfound speed and accuracy - and it's open source! The permissive MIT license allows commercial drug developers to apply proprietary data and offers an advance over the structure prediction capabilities of AlphaFold 3. tinyurl.com/37c96c6y

In collaboration with @recursionpharma.bsky.social, the work was led by Gabriele Corso @gcorso.bsky.social, Saro Passaro, and Jeremy Wohlwend from the lab of Regina Barzilay at @mit.edu!

Move over AlphaFold3. Boltz-2 has arrived, bringing affinity prediction for protein-small molecule interactions! Can’t wait to see what this group does next. Congrats to all @gcorso.bsky.social Was a pleasure writing this: www.cancergrandchallenges.org/news/boltz-2...

biologists are actually doing incredible things with AI