CB-Dock2

CB-Dock2 performs protein–ligand blind docking to identify receptor binding sites and predict ligand binding poses for structure-based drug discovery.

Key Features:

• Blind docking: Explores receptor cavities and predicts ligand binding poses without requiring predefined active sites.
• Template-based docking engine: Integrates a template-based docking engine to enhance the precision of binding-site identification and pose prediction.
• Automated pipeline: Automates cavity detection, docking, and homologous template fitting.
• Homologous template fitting: Fits ligands using homologous templates to inform docking poses.
• Benchmark performance: Reported ~85% success rate for predicting binding poses with root-mean-square deviation (RMSD) < 2.0 Ångströms in benchmark tests.

Scientific Applications:

• Drug discovery: Supports structure-based drug discovery by identifying potential ligand binding sites and poses.
• Target identification: Aids in identifying potential drug targets through receptor cavity exploration.
• Protein–ligand interaction studies: Facilitates analysis of protein–ligand binding modes and pose prediction.

Methodology:

Integrates automated cavity detection, docking, and homologous template fitting via a template-based docking engine; benchmark evaluation used RMSD to assess pose accuracy (~85% success for RMSD < 2.0 Ångströms).