Binder design has come of age thanks to generative models—but how can we access the wider array of dynamic, multistate protein functions, so elegantly employed by nature?
@mihirbafna14 and I are excited to share SwitchCraft, a framework for designing such functions. (1/7)
@sokrypton Interesting! I am wondering how dependent this is on protein and location of positions. Thinking about ablation approaches - I've seen as few as 2 residues ablated lead to an alt conf !
ChatGPT for biology? Excited to share our work on LLMs for protein design out today @NatureBiotech
https://t.co/j6lYXYGWxP
+ Proud to publicly announce @ProfluentBio with a $9M seed round to tackle meaningful challenges in biology with AI. Join us!
@johncumbers I'd imagine it would tell you a story that's surprisingly familiar. An entity goes about its business, behaving in a way that's innate, finding synergies with companions in its ecosystem. Except in this case, the ecosystem around it is ancient, immortal, and recurring..
Exciting to see the preprint on ESM2/ESMFold from @alexrives group out: https://t.co/JccyVnt6OE. Far larger protein LMs than ESM-1b and applied to MSA-less protein structure prediction. Can't wait for code/models!
Excited to share our recent work on single-cell proteo-genomics of human hematopoiesis and leukemia. Mapping up to 197 surface markers & transcriptome enables us to design rational cytometry schemes that accurately reflect topologies of cellular systems https://t.co/EkFTR2JB1H