Reinforcement learning with experimental feedback (RLXF) shifts protein language models so that they generate sequences with improved properties @nathanielblalock.bsky.social @philromero.bsky.social www.biorxiv.org/content/10.1...

We are excited in the @philromero.bsky.social lab to share our new preprint introducing RLXF for the functional alignment of protein language models (pLMs) with experimentally derived notions of biomolecular function!

Great article, simple reminder about the value of higher education! engineering.wisc.edu/blog/why-we-...

🎉Congrats to Chase on her new preprint! She developed OMEGA--a simple method for assembling custom gene panels for as little as $1.50 per gene. Big step forward protein engineering and design!🧬 www.biorxiv.org/content/10.1...

Post the amazing science things you have done with federal funding.

My 1st NeurIPS was a wonderful experience - incredible to see so much research in protein design and reinforcement learning. Here are my favorite papers (and favorite places I got food in Vancouver 😋):

Three BioML starter packs now! Pack 1: go.bsky.app/2VWBcCd Pack 2: go.bsky.app/Bw84Hmc Pack 3: go.bsky.app/NAKYUok DM if you want to be included (or nominate people who should be!)