The thing I feel most about coding agents is tremendous gratitude. Every half-finished project that has haunted me for a decade gets to actually come to life
@sokrypton@design_proteins We weren’t looking to validate a new method though, just try a few different ways to get binders on demand. I’m surprised so few worked! Do you have a better/recommended approach?
@sokrypton@design_proteins An awful lot, maybe 10K+ filtered in different ways.
Going to get the two designers to tag the designs with methods so I can make sense of why even a handful worked (hopefully there’s some pattern)
Or maybe ecCD45RO is just hard?
@joe_fenrir@DrSamuelBHume I’m sure you could with great effort create placebo infusion schedules to blind people taking an oral drug vs mostly infusion control, but it adds a ton of complexity to a trial so not sure anyone ever does it (esp when the control arm has different treatments for every patient)
@joe_fenrir@DrSamuelBHume Bc they’d be criticized for any specific choice of control arm, they are all known to be bad at this point in the disease trajectory. So it’s common to sweep that choice into “maybe the treating oncologists will have better ideas than us”
@Ed_Harris_ Got two different people to make mixed libraries from a few different methods, we’ll do a writeup blog post once the full Adaptyv data is finished
Jeremy Wang developed rammap, a minimap2 rewrite in Rust. It achieves comparable or better performance than minimap2 and produces identical output to minimap2. During rewrite, Jeremy found two long-existing bugs in minimap2 which are fixed in v2.31. https://t.co/9FNiwgbgqW
@BenjaminGVincen Ha! I’m working very hard on seeing the utility, original motivation, or (at worst) the explanatory incentive structure in all the weird corners of bureaucratized biomedicine.
if you enjoyed this article + know anyone who works at a zombie biotech liquidator fund (Tang Capital/XOMA/etc), i would love love love love an introduction and will buy you dinner in exchange
The ESMC embeddings are incredible, especially for non-protein biomolecules where MSAs do not help much. The single sequence folding there is state of the art even amongst MSA conditioned models
4/5
Cell type resolution exposes biology bulk profiling misses. We find cancer-testis antigens, proteins normally restricted to immune-privileged sites and actively targeted by immunotherapies, in oocytes of the female germline. Worth noting for CTA-directed therapy safety.
@anshulkundaje So is esmfold2 a "world" model? On one 🫱, it's uses evolution stats from the pLM, so no. But on the other 🫲 the PPI results from inference-time-scaling (multiple seeds, select w/ confidence) suggests it did learn an energy function and limited search in the "folding" module? 🤔