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🔥 Introducing BindEnergyCraft (BECraft), the BindCraft pipeline you know and love, now enhanced with an energy-based loss to boost in silico binder success! Thrilled to present this as an oral at ICML GenBio Workshop @ ICML25 next week 📄 Paper: arxiv.org/abs/2505.21241 🧵Thread⬇️

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New features available now on our protein GenAI platform DiffuseSandbox! scFv design with DSG2-mini is now live. We’ve also made open-source models RFAntibody + pMPNN available. diffusesandbox.com 1/

Hybrid explicit-latent flows are the new foundation models for protein structures. La-Proteina shows that one network can design 800-residue, all-atom structures and sequences, then perform well at motif scaffolding. Read more: nvda.ws/4nOjBSL

In collaboration with Schrödinger, we present DualBind trained on ToxBench 📚 8,770 ERα AB-FEP predicted complexes (RMSE ≈ 1 kcal mol⁻¹). At last, ML has the signal to learn true binding physics - DualBind already hits r = 0.84 without shortcuts. How could this reshape

Excited to share: “Learning Diffusion Models with Flexible Representation Guidance” With my amazing coauthors Cai Zhou, Sharut Gupta, Johnson Lin, Stefanie Jegelka, Stephen Bates, Tommi Jaakkola Paper: arxiv.org/pdf/2507.08980 Code: github.com/ChenyuWang-Mon…

Next Wed (7/23) at 4PM ET, Professor Possu Huang Possu Huang Lab will be giving a talk about his research! Sign up on our website for zoom links!

Protenix-Mini: Efficient Structure Predictor via Compact Architecture, Few-Step Diffusion and Switchable pLM “1) Multi-step AF3 sampler is replaced by a few-step ODE sampler, significantly reducing computational overhead for the diffusion module part during inference; 2) In the

Come see how to shrink protein sequences with diffusion at our talk tomorrow morning!!!

reprogramming cells with transcription factors is our most expressive tool for engineering cell state traditionally, we found TFs by ~guesswork ICML Conference we're sharing NewLimit's SOTA AI models that can design reprogramming payloads by building on molecular foundation models

Yes. Writing is not a second thing that happens after thinking. The act of writing is an act of thinking. Writing *is* thinking. Students, academics, and anyone else who outsources their writing to LLMs will find their screens full of words and their minds emptied of thought.

Our study where we develop EvoBind2: Design of linear and cyclic peptide binders from protein sequence information is now published! nature.com/articles/s4200…

Starting with macrocycles and mini-binders, expanding to nanobodies and more. Our mission: make biology programmable to make drug design instantaneous. Join early access: platform.latentlabs.com Technical report: tinyurl.com/latent-X Technical details:

Whoa

The biggest challenge for AI in biology isn't just models, it's the data used to train them. Standard biological data isn't built for AI. To unlock generative AI for drug discovery, we must rethink how we generate and capture data. 1/

Next Wed (7/30) at 4PM ET, please join us for an exciting talk from Pranam Chatterjee about his research! Sign up on our website for zoom links!

Evo 2 update: new dependency versions (torch, transformer engine, flash attn) and a docker option mean it should be easy to setup without needing to compile locally. Happy ATGC-ing! github.com/ArcInstitute/e…

Our online book Physics-Based Simulation v1.0.2 is live! phys-sim-book.github.io New in this update: ABD, modal reduction, MPM, PBD, and linear solvers! Huge thanks to all the amazing contributors who made this happen!

Anyone knows adam?

Excited to host Pranam Chatterjee next week for our career scientist series(which his prev student Leo Zang helped start when he joined the ML4PE team💪🏼)Getting to see the lab’s work the past yr at Duke, I am confident they are up to cool things in the field, ya won’t wanna miss this✨