Researchers introduce Pyrite, a pairwise pose-ranking benchmark with 1,500 pose pairs across diverse protein-ligand complexes. Expert chemists using 3D visualization and physics-based scores perform near chance, showing how hard ranking is. The work also introduces PyriteRep, a structured molecular representation for automated ranking agents.
Why it matters
Correct ligand pose ranking is central to drug discovery; reliable automated ranking could improve candidate selection from cofolding models.
Analysis
Drug discovery agents may combine cofolding generation with learned ranking, moving beyond human-interpretable chemical scores.
Source: arXiv
AI disclosure: this article was produced with AI assistance and reviewed for accuracy.
