📣 Evolutionary Scale is supporting the 2025 Protein Engineering Tournament!
Teams get sponsored ESM inference through @EvoscaleAI's API (Forge), bringing frontier protein AI models into the competition.
Level playing field, real experiments, open results. Register now 👇
1/5 Biological data is noisy, redundant, and ever-growing. 🗣️
In our new paper (first paper of my post doc!! ⚡️), we track model performance across 14 years of UniRef100 snapshots to ask: how does pLM performance scale with training data?
1/4
🚀 Announcing the 2025 Protein Engineering Tournament. This year’s challenge: design PETase enzymes, which degrade the type of plastic in bottles. Can AI-guided protein design help solve the climate crisis? Let’s find out! ⬇️
#AIforBiology#ClimateTech#ProteinEngineering #OpenScience
@clovis_cormoran @Protohedgehog @mrgunn @seis_matters @Megan_Byrd23@melbee85@AcademicPain@brembs I did an informal study of NAR db issue using the date function in https://t.co/OoQDHw0cSx and found attrition could get very high. I want to say close to 50% after 1 year of publication, but I never published it and don't have the numbers...it is high, whatever the num is.
@clovis_cormoran @Protohedgehog @mrgunn @seis_matters @Megan_Byrd23@melbee85@AcademicPain@brembs There are labs that generated important DBs. But when the money runs out, research interests change and postdocs and sysadmins disappear. There are v. few grants for DB maintenance, and few labs want to spend their time maintaining a website.