🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

Excited to share our preprint “BoltzDesign1: Inverting All-Atom Structure Prediction Model for Generalized Biomolecular Binder Design” — a collaboration with Martin Pacesa, Zhidian Zhang , Bruno E. Correia, and Sergey Ovchinnikov. 🧬 Code will be released in a couple weeks

Atom level enzyme active site scaffolding using RFdiffusion2 🚀 New preprint from David Baker!🚀 1. RFdiffusion2 introduces a generative model that designs functional enzymes directly from atomic-level active site descriptions—without needing predefined sequence indices or

New enzymes can unlock chemistry we never had access to before. Here, we introduce RFdiffusion2 (RFD2), a generative model that makes significant strides in de novo enzyme design. Preprint: biorxiv.org/content/10.110… Code: coming soon Animation credit: x.com/ichaydon (1/n)

RFdiffusion => generative binder design. RFdiffusion2 => generative enzyme design. It's rare to find scientists with deep knowledge in chemistry, machine learning, and software engineering like Woody. The complexity of enzymes matches the complexity of his skills. Check out RFD2

RFdiffusion2 generates new enzyme structures just from the most basic descriptions of their geometry. See Woody Ahern's thread to see the next generation of de novo enzyme design:

Pymol 3 is essentially unusable

We are pleased to announce that Summer RosettaCon 2025 will take place at Suncadia Resort in Washington from August 4 to 7, 2025. Registration is now open: rosettacon.org/registration/ Find details here: rosettacommons.org/2025/04/20/sum… We look forward to seeing you there!

What could Alphafold 4 look like? (Sergey Ovchinnikov, Ep #3) 2 hours listening time (links below) To those in the (machine-learning for protein design) space, Dr. Sergey Ovchinnikov (Sergey Ovchinnikov) is a very, very well-recognized name. A recent MIT professor (circa early

🚀 Excited to release a major update to the Boltz-1 model: Boltz-1x! Boltz-1x introduces inference-time steering for much higher physical quality, CUDA kernels for faster, more memory-efficient inference and training, and more! 🔥🧵

Next Tues (5/13) at 4PM ET, we will have Anna Lauko and Sam Pellock present "Computational design of serine hydrolases" Paper: science.org/doi/10.1126/sc… Sign up on our website for zoom links!

Excited to share our latest releases to the FAIR Chemistry’s family of open datasets and models: OMol25 and UMA! AI at Meta FAIR Chemistry OMol25: huggingface.co/facebook/OMol25 UMA: huggingface.co/facebook/UMA Blog: ai.meta.com/blog/meta-fair… Demo: huggingface.co/spaces/faceboo…

The Open Molecules 2025 dataset is out! With >100M gold-standard ωB97M-V/def2-TZVPD calcs of biomolecules, electrolytes, metal complexes, and small molecules, OMol is by far the largest, most diverse, and highest quality molecular DFT dataset for training MLIPs ever made 1/N

We’re proud to welcome two bold scientific minds to the Institute! Arvind Pillai, PhD, joins as Assistant Investigator exploring protein #evolution & design. Friederike Benning, PhD, joins as Stowers Fellow studying membrane complexity in #bacteria. More: bit.ly/3SCZQiM

Our new preprint, "SoftAlign: End-to-end protein structure alignment," is now on bioRxiv! biorxiv.org/content/10.110…

Can AI-designed binders degrade, aggregate, stain and enrich endogenous proteins in human cells? Check out our new preprint! biorxiv.org/content/10.110…

ChatGPT now can analyze, manipulate, and visualize molecules and chemical information via the RDKit library. Useful for scientific work across health, biology, and chemistry.

Late, but got it done. Inference and training code for CA RFDiffusion is available here: github.com/baker-laborato… Please have fun. Getting this online was an adventure, to say the least.

🚀 Excited to release BoltzDesign1! ✨ Now with LogMD-based trajectory visualization. 🔗 Demo: rcsb.ai/ff9c2b1ee8 Feedback & collabs welcome! 🙌 🔗: GitHub: github.com/yehlincho/Bolt… 🔗: Colab: colab.research.google.com/github/yehlinc… Sergey Ovchinnikov Martin Pacesa

We’re excited to introduce Chai-2, a major breakthrough in molecular design. Chai-2 enables zero-shot antibody discovery in a 24-well plate, exceeding previous SOTA by >100x. Thread👇