🚨The Bits to Binders Competition has concluded!🧬 One year ago we gathered scientists from around the world to design and submit protein binders that cause immune cells to target and eliminate CD20+ tumors Spoiler: They work!

For better or worse, I've subconsciously adopted a policy of "AI/fake/bot unless proven innocent" w/ regards to internet content from anyone I don't know personally

Some recent used bookstore acquisitions of mine Part of a few themes I'm trying to understand: - cultures & life via classic lit - basics of philosophy & history - modern political climate & trajectory - how can we make cities better? - what will the future look like?

Effect of SMILES representation on structure prediction, now with a large sample size!

PSA: Digging into Chai-1 and found out that it gives different protein-ligand structures & confidences depending on the SMILES canonicalization used May also be the case with AF3 & Boltz-1, but haven't verified As to what this means... see the rest of the thread 🧵

The DNA for the Bits to Binders competition has just arrived from @twistbio.bsky.social! It is now being handed off to LEAH Labs where they will begin testing the 12,000 binders in a few days 👀 Stay tuned!

This year I've read 30 books so far. Here are the ~10 that I found the most valuable 🧵 1) One Hundred Years of Solitude (1967) by Gabriel Garcia Marquez Fantastic novel that I think everybody should read once. Captures the feeling of human life that feels instinctually correct

Unparalleled levels of productivity this week

@ddelalamo.bsky.social Just looked at the data. We fine-tuned ProteinMPNN on AlphaFold structures from each class of temperature in the HotProtein dataset. We found no change in performance on FireProtDB ddG or dTM. Work done w/ Phillip Woolley at UT Austin

Legend

Last year I made an intro Protein + ML project to teach BioML Society members about protein embeddings. Here it is! Hope you all enjoy Should get you familiar extracting embeddings for proteins, visualizing them, and using them for property prediction

"open-source and commercially available" 😎

Hi new followers. Y'all might find this protein design resource list useful. Lots of great papers + available tools here! github.com/kosonocky/bi...

Has anybody been curating a list of the most seminal papers in the BioML space? Mainly interested in work that expands our ability to do and understand new things rather than improve upon benchmarks

I tried to make a bioml starter pack. DM if you want me to add or remove you? go.bsky.app/2VWBcCd