PDBBind-2020
Emerging3papers using it
2024first seen
The 'PDBBind2020' dataset is a benchmark that contains a collection of protein-ligand complexes used to evaluate the performance of binding site prediction methods in computational drug discovery.
Papers using PDBBind-2020 (3)
- PocketVina Enables Scalable and Highly Accurate Physically Valid Docking through Multi-Pocket ConditioningGDEGAN: Gaussian Dynamic Equivariant Graph Attention Network for Ligand Binding Site PredictionVN-EGNN: E(3)-Equivariant Graph Neural Networks with Virtual Nodes
Enhance Protein Binding Site Identification