Nesso-1: open-source model for binding-affinity prediction
Francesco_dgv · x · 2026-07-20
Valence AI and Recursion Pharma introduced Nesso-1, an open-source coarse-grained co-folding model for faster and more accurate binding-affinity prediction.
The post says the model is a step forward, but the authors emphasize that closing the gap to real-world medicinal chemistry still requires more work. Nesso-1 is now open source.
Related event: Valence AI Open-Sources Nesso-1(3 posts)→
More from Research
- Cognition's SWE-2 uses a KKT duality argument in RL to shift the effort Pareto curve — YouJiacheng · 2026-09-11
- VidMap uses RoMa coarse matching on all frames, fine-scale only for keyframes — ducha_aiki · 2026-09-11
- Bug Hunt Bench author: leaderboard noise is about 2-3 points — PawelHuryn · 2026-09-11
- PNAS paper shows a tiny billiard-ball system is a universal computer — undecidability lives in two dimensions — eigensteve · 2026-09-11
- New paper: Absolute pose estimation from affine cues and gravity direction — ducha_aiki · 2026-09-11
- LoMa Paper Ships REALLY HardPairs Dataset, Accepted at ECCV 2026 — ducha_aiki · 2026-09-11