![]() So proteins do a lot of useful things in nature, but we can really expand their repertoire to do things that people care about but that nature may not really care about. And as a step towards this goal, we train a suite of models that we call EvoDiff that learns to generate realistic but novel proteins. And people are interested in generating new proteins to do things that people care about-not necessarily in our bodies, but we’re interested in proteins as industrial enzymes so for catalysis and to make new chemicals or for therapeutics to make new drugs. For example, hemoglobin carries oxygen in your blood, and insulin regulates your blood sugar levels. YANG: Yeah, so proteins are this really big, important family of biomolecules, and they’re responsible for a lot of cellular processes. ![]() HUIZINGA: So, Kevin, in just a couple sentences, tell us what problem this research addresses and why people should care. Ava and Kevin, thanks for joining us on Abstracts! Ava and Kevin are co-authors of a paper titled “Protein generation with evolutionary diffusion: Sequence is all you need,” and a preprint of the paper is available now on bioRxiv. Kevin Yang, both senior researchers at Microsoft Health Futures. In this series, members of the research community at Microsoft give us a quick snapshot-or a podcast abstract!-of their new and noteworthy papers. GRETCHEN HUIZINGA: Welcome to Abstracts, a Microsoft Research Podcast that puts the spotlight on world-class research in brief.
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