MIT’s AI system boosts precision protein drug production, cutting development costs by learning the “language” of genetic sequences.

In 2009, Jonathan Weissman was hunting for a new way to spy on what happens inside a cell. In particular, the molecular cell biologist wanted to know what proteins are produced at any given moment. So ...

A comprehensive encyclopedia of the known functions of all protein-coding human genes has just been completed and released. Researchers used large-scale evolutionary modeling to integrate data on ...

A massive genomics effort has identified thousands of single nucleotide non-coding variants, which alter gene activity, that link to disease and health.

MIT researchers have built an AI language model that learns the internal coding patterns of a yeast species widely used to manufacture protein-based drugs, then rewrites gene sequences to push protein ...