CASP-16

CASP-16 is a benchmark dataset used to evaluate the accuracy of protein structure prediction methods, specifically focusing on the prediction of protein-ligand binding affinities and poses.

Papers using CASP-16 (4)

FlowDock: Geometric Flow Matching for Generative Protein-Ligand Docking and Affinity Prediction2024 · 13 citesPSBench: a large-scale benchmark for estimating the accuracy of protein complex structural models2025 · 1 citesTerraBind: Fast and Accurate Binding Affinity Prediction through Coarse Structural Representations2026Structure-Aligned Protein Language Model2025