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Great work by Minkai Xu during his internship at NVIDIA AI !

Chai-1 has always been available for commercial use via our server. Today, we're also making Chai-1(r) code and weights available under an Apache 2.0 license, which permits broad commercial use. github.com/chaidiscovery/…

Check out Proteina! Paper, code, and nice visuals on the project page research.nvidia.com/labs/genair/pr…

📢 Join us next week for a talk with Karsten Kreis and Tomas Geffner on their recent paper Proteina: Scaling Flow-based Protein Structure Generative Models. As always with Michael Bronstein & Bruno Correia When: Fri, Mar 14 - 5p CET/11a ET Sign-up: genaiindrugdiscovery.com

The NVIDIA bio generative modelling folks Tomas Geffner Kieran Didi @ICLR Karsten Kreis Arash Vahdat & co (and their interns :)) are on an absolute tear this year and this one you don't want to miss!!

Announcing Neo-1: the world’s most advanced atomistic foundation model, unifying structure prediction and all-atom de novo generation for the first time - to decode and design the structure of life 🧵(1/10)

These guys are crushing all of the benchmarks 🦾. Congrats to Tomas Geffner, Kieran Didi and team!

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

Awesome work from a great collaborative team at NVIDIA NVIDIA Healthcare! Be on the lookout very shortly for code release!

Partially-latent flow matching enables sequence-structure codesign of large proteins and functional motif scaffolding. Tomas Geffner Kieran Didi Zhonglin Cao Zuobai Zhang Christian Dallago Karsten Kreis @ ICML'25 Arash Vahdat ✈️ ICML2025

100% no question about this