Following our successful SF event, we (compmotifs.com) are running another hackathon! When? 7-8 June Where? London Who? Builders & researchers from academia & industry What? Develop computational tools to advance the natural sciences Join us: lu.ma/apsqlxlj?utm_s….

Sharing a surprising result on AI molecule generation with Transformers: All-atom DiT with minimal molecular inductive bias is on par with SOTA equivariant diffusion (SemlaFlow, a very strong and optimized model) Scaling pure Transformers can alleviate explicit bond prediction!

Exciting! 🙌

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Many top academic AI researchers are GPU poor. The Sovereign AI Unit wants to change this story. We are seeking ambitious AI research proposals for UK academics aiming to take their research to the next level. Read below to find out more and apply 🧵👇

Check out La-Proteina, our new model for all-atom structure generation at scale! Was a very fun project to work on with Tomas Geffner and the rest of the team. Two things I am particularly excited about in 🧵 1/n

Introducing Latent-X — our all-atom frontier AI model for protein binder design. State-of-the-art lab performance, widely accessible via the Latent Labs Platform. Free tier: platform.latentlabs.com Blog: latentlabs.com/latent-x/ Technical report: tinyurl.com/latent-X

RNA-FrameFlow has found a new home in TMLR Accepted papers at TMLR 🥳 Over the past one year, we've spent quite some time making our method faster, developing more intricate evaluation pipelines, thinking about conditional design, and assessing/ablating our modeling choices Here are some

RosettaFold 3 is here! 🧬🚀 AtomWorks (the foundational data pipeline powering it) is perhaps the really most exciting part of this release! Congratulations Simon Mathis and team!!! ❤️

Today, we're releasing a software suite to train biomolecular neural networks called AtomWorks. We have already used it to train performant networks in our group -- we hope that others find it as useful as we do! Check it out at github.com/RosettaCommons…

Atomsworks and RF3 is finally here!! I was very fortunate to get early access to atomworks and it really lowers the activation energy todo some really cool stuff with the PDB very quickly. Might share fun examples later Huge congrats to Simon Mathis and team!!! ✨

Great to finally have this available for people 🙌 Thank you to everyone involved, especially Nate Corley & Rohith Krishna! We'll be pushing a few smaller updates in the coming days to enhance usability for everyone (including some docs on what you can do with it) - so stay tuned (:

Where are all the de novo designed therapeutics? In a guest post by Frédéric Dreyer, we break down what the actual bottlenecks, challenges, and opportunities are in building and deploying purely in silico drug discovery engines, with a focus on antibody structure. Link below 👇

Check out our new perspective "Illuminating the universe of enzyme catalysis in the era of artificial intelligence" now out in Cell Systems ! We discuss a vision and path forward for genetically encoding almost all chemistry, powered by new AI tools: authors.elsevier.com/c/1lg4h8YyDfuZ…

Thrilled to announce I'm starting as a Principal Investigator at #Aithyra in Vienna! We'll be developing generative models to understand cell biology and design proteins. I'm hiring PhDs, Postdocs, & Visiting Researchers! PhD applications by Sept 10: apply.cemm.at

La-Proteina open source now, excited to see what people build with it!

We asked ourselves what could we do if we worked cooperatively as a team to create a single model that could design any biomolecular interactions. Yesterday, we reported details of RFdiffusion3, the next step towards building functional proteins straight from the computer.

We sought to make proteins both potent and FAST. We used #proteindesign to design precise control over protein interaction lifetimes, enabling us to construct rapid-response circuits, biosensors, and switchable cytokines. Now published nature! Links to paper and tutorial below.

Super cool - congratulations Magnus & Team!