alex rubinsteyn

Let’s dream a bit. How would you dramatically reorg biotech research / drug development to make dramatically faster progress towards curative therapies? (Don’t say “use AI”, hypothesis/candidate generation under current structure isn’t a bottleneck)

Going to be in Paris next week, anyone want to meet up to talk {ML, cancer genomics, immunology, pMHCs, TCRs, &c}?

🤯Three (!!!) new papers today in @ScienceMagazine on the application of generative AI for the de novo design of peptide/HLA binding molecules! Completely unique 3D structure and binding mode compared with natural TCRs and TCR mimics! Links to papers 👇

Each of our bimonthly HTS data releases reveals previously unknown drug/off-target interactions, but some, like this snippet from last week's Release 5, showing that capsaicin is a highly selective agonist for the orphan nuclear receptor, ESRRB, deserves special note. 🧵 1/4 🧪

(New Playbook) Human evidence is everything in biotech. It’s the proof that a new therapeutic works, the foundation for investor belief, and the floodgate for real-world patient impact. This is why us @CompoundVC have written a playbook on how biotech companies can get human…

I sometimes think there should be an active grant body that hunts down the labs that would have the capability, skill, knowledge, to solve an urgent problem, and they just contract them to do the work....or like, i dunno, create institutes that do the same thing with less steps

How do the OpenAI vs Google IMO answers compare? Who’s got the more elegant proofs?

I have to admit that I’m skeptically side eyeing virtual cell models without knowing a lot about them. What’s the strongest result that’s come out of that corner of research (wrt experimental validation)?

Who is/has worked on personalized cancer vaccines? *****Ideally those who’ve been involved in ones that went into patients. PLS DM!*****