Ran Boltz-2 100 million times to simulate cell biology
dom_beaini · x · 2026-08-26
Dominique Beaini shares results from running Boltz-2 100 million times to simulate cell biology. The experiment generated an "affinity-prints" dataset across 9,000 targets and 500k ligands. Combined with Recursion's phenomics data, he built a minimal Virtual Cell with just 6 parameters that estimates phenomics similarity, and introduced a Lig2Cell score to assess ligand efficacy.
Related event: Researchers Ran Boltz-2 100 Million Times to Simulate Cell Biology(3 posts)→
More from Research
- DeepPhylo infers phylogenetic trees without unrealistic evolutionary assumptions — anshulkundaje · 2026-10-15
- Wander preprint explores graph foundation models via shared objective and random-walk interface — mmbronstein · 2026-10-15
- CHI Reviewer: AI Slop Is Real, but Unusually Rigorous Papers Still Getting Through — IanArawjo · 2026-10-15
- Into the Unknown: CMU benchmark finds 114 of 135 AI-written research papers fail integrity checks — arankomatsuzaki · 2026-10-15
- 8 non-negotiable principles for building AI that actually learns from experience — tokenbender · 2026-10-15
- Benchling launches Science Foundries: multiplayer agent swarms for end-to-end science workflows — nlarusstone · 2026-10-15