Articles from OpenFold Consortium

OpenFold Consortium, an open science initiative advancing open-source AI tools for biology and drug discovery, announced today that eleven new members have joined the consortium including Absci, Adaptive Biotechnologies, Benchling, Chemical Computing Group, Daiichi Sankyo, Flagship Pioneering, Kiin Bio, Nanome, Nxera, Pledge Tx, and Superluminal.

The Rocklin Lab at Northwestern University today announced the release of the MGnify Stability Dataset, a large-scale experimental resource containing folding stability measurements for 1.8 million diverse protein domains. The release builds on earlier Rocklin Lab megascale stability work by expanding both the scale and diversity of experimentally measured protein domains. The dataset, generated using cDNA display proteolysis, is now available to the research community to accelerate the development of improved models for protein stability prediction. The work was supported in part by the OpenFold Consortium, which sponsors the Rocklin Lab as part of its broader mission to advance open biomolecular AI.

The Open Molecular Software Foundation (OMSF) today announced a new research fellowship between the OpenFold Consortium and the University of Washington Institute for Protein Design (IPD). Nobel Laureate David Baker is the Director of the IPD, a professor of biochemistry, and HHMI Investigator at UW Medicine. This fellowship is aimed at accelerating the development of open-source artificial intelligence tools for protein structure prediction and design ultimately to be used for new drug discovery.

OpenFold Consortium, an open science initiative advancing foundational AI tools for biological applications, announced today that Apheris and Johnson & Johnson have joined the consortium as new members. This collaboration marks a significant step forward in the effort to build and share high-performing, open-source models that accelerate drug discovery across the biomedical ecosystem.