PDBBind-2020
Emerging3papers using it
2024first seen
The 'PDBBind-2020' dataset is a benchmark that contains a collection of protein-ligand binding affinity data used to evaluate methods for predicting binding sites in proteins.
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