Get the latest tech news
Chai-1: Decoding the molecular interactions of life
Building AI foundation models to predict and reprogram the interactions between biochemical molecules, the fundamental building blocks of life.
In addition to its frontier modeling capabilities directly from sequences, Chai-1 can be prompted with new data, e.g. restraints derived from the lab, which boost performance by double-digit percentage points. We explore a number of these capabilities in our technical report, such as epitope conditioning – using even a handful of contacts or pocket residues (potentially derived from lab experiments) doubles antibody-antigen structure prediction accuracy, making antibody engineering more feasible using AI. We are grateful for the partnership of Dimension, Thrive Capital, OpenAI, Conviction, Neo, Lachy Groom, and Amplify Partners, as well as Anna and Greg Brockman, Blake Byers, Fred Ehrsam, Julia and Kevin Hartz, Will Gaybrick, David Frankel, R. Martin Chavez, and many others.
Or read this on Hacker News