AI FOR SCIENCE · ON THE RECORD

Institute for Protein Design

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Research on the record

2026-10-14Designed from scratch, 13 of 69 cysteine proteases cut the peptide backbone where told, and designs cut their targets in cellsLevel 4 · Tested in the physical world
2026-10-14Zinc proteases designed with RFdiffusion cut chosen peptide bonds, and some cut TDP-43 and amyloid-betaLevel 4 · Tested in the physical world
2026-08-20The Baker lab's SAPP and DMX turn protein-design testing into a 48-hour batchLevel 4 · Tested in the physical world
2023-07-11RFdiffusion turns protein structure prediction into protein designLevel 4 · Tested in the physical world

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Read on AI4S.fyi

2026-10-15De novo cysteine proteases: 13 of 69 cut, and they cut inside living cellsBrief
2026-10-15Designed zinc proteases: 135 designs in one shot, 36% cut at the bond they were told toBrief
2026-08-21SAPP + DMX (Baker Lab): AI Can Design Thousands of Proteins. How Does the Lab Keep Up?Brief
2026-10-19AI for Science: six lessons from 60 papersCommentaryJorge Bravo-Abad · Discovery at Scale

People

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Named on AI4S.fyi

Nathaniel CorleyNow: PhD candidate, Baker Lab · Institute for Protein Design, University of Washington2026-10-21 A single protein-design model from Baker's lab and NVIDIA beats the best specialist tools on four design tasks, and its designs were made and measured in the lab

Previously there

This page compiles what AI4S.fyi has recorded and links each item to its source. It is not a grade of the organization and not its complete history: a blank means the record has not caught up as often as it means nothing happened.