CASP-16
Emerging4papers using it
2024first seen
CASP16 is a benchmark dataset used to evaluate the accuracy of protein structure prediction methods, specifically focusing on the prediction of protein-ligand interactions and binding affinities.
Papers using CASP-16 (4)
- FlowDock: Geometric Flow Matching for Generative Protein-Ligand Docking
and Affinity PredictionPSBench: a large-scale benchmark for estimating the accuracy of protein complex structural modelsTerraBind: Fast and Accurate Binding Affinity Prediction through Coarse Structural RepresentationsStructure-Aligned Protein Language Model