OpenFold Consortium Adds Eleven New Members
The consortium welcomed eleven new members, reflecting growing industry momentum behind open AI infrastructure for biology and drug discovery.
Consortium announcements, new members, model releases, and press coverage, newest first.
The consortium welcomed eleven new members, reflecting growing industry momentum behind open AI infrastructure for biology and drug discovery.
The Rocklin Lab released a megascale open dataset of protein stability measurements to accelerate biomolecular AI research.
OpenFold and the University of Washington's Institute for Protein Design launched a research fellowship to advance open-source AI for protein structure prediction and design.
OpenFold released a major OpenFold3 update along with training data, model weights, and code for reproducible biomolecular AI.
SandboxAQ introduced AQAffinity, an open-source model built on OpenFold3 for high-speed, structure-free drug potency prediction.
The consortium named Dr. Jan Domanski as Senior Science Lead to drive the next generation of open-source AI models for structural biology and drug discovery.
OpenFold released a preview of OpenFold3, an open-source cofolding system for predicting the structures of biomolecular complexes.
OpenFold expanded its AI-for-biology mission with two new members, Apheris and Johnson & Johnson.
OpenFold welcomed eight new members, including Bristol Myers Squibb, Novo Nordisk, and COGNANO.
A technical deep dive on how Novo Nordisk, Columbia University, and AWS collaborated to build OpenFold3.
Nature covers the race among scientists to build an open-source equivalent of AlphaFold3.
The Texas Advanced Computing Center explores how AI and high-performance computing are advancing protein structure prediction.
OpenFold welcomed six new members spanning biotech and pharma: Astex, Biogen, Congruence, Polaris Quantum, Psivant, and SandboxAQ.
GeekWire examines how AI is accelerating drug discovery while raising questions about proprietary data.
OpenFold released SoloSeq and Multimer, extending its open-source structure-prediction toolkit.
OpenFold announced funding for large-scale protein data collection at the Rocklin Lab.
OpenFold welcomed three new members: UCB, NVIDIA, and Valence Labs.
OpenFold welcomed Bayer, Dassault Systèmes, CHARM Therapeutics, and BaseCamp Research.
The launch of the OpenFold Consortium to build open-source AI tools for structural biology.
TechCrunch interviews Gustaf Ahdritz on why the community steps in when big AI labs won't open-source their models.