Enzymes significantly speed up the chemical reactions that keep you alive. Researchers are using AI to create new ones to tackle modern challenges.

Using digital blueprints of the metabolism of microbes, scientists can simulate expensive and time-intensive experiments set in space, power plants and farm fields.

Genomics and lab studies reveal numerous findings, including a key role for Reelin amid neuronal vulnerability, and for choline and antioxidants in sustaining cognition.

Scientists are discovering viral genetic sequences in the wild faster than they can analyze them. A kind of ChatGPT for proteins can help make sense of all that data.

By analyzing bacterial data, researchers have discovered thousands of rare new CRISPR systems that have a range of functions and could enable gene editing, diagnostics, and more.

MIT computer scientists developed a way to calculate polygenic scores that makes them more accurate for people across diverse ancestries.

MIT researchers model and create an atlas for how neurons of the worm C. elegans encode its behaviors, make findings available on their “WormWideWeb.”

An epigenetic model of cancer that incorporates the concept of stochasticity could also explain why cancer risk increases with age and how biological development can be reversible.

With NEET, Sherry Nyeo is discovering MIT’s undergraduate research community at the intersection of computer science and biological engineering.

Jonathan Weissman and collaborators used their single-cell sequencing tool Perturb-seq on every expressed gene in the human genome, linking each to its job in the cell.