GalaxySite

GalaxySite predicts ligand-binding sites on proteins and identifies potential non-metal ligands and their binding geometries using comparative structural information and molecular docking.

Key Features:

• Integration of Structural Information: Utilizes structural information from homologous proteins with known binding sites to improve binding-site identification.
• Molecular Docking Capabilities: Employs molecular docking to predict ligand identity and model ligand-protein binding poses.
• Optimized Predictions: Provides optimized three-dimensional coordinates for predicted protein-ligand complexes.

Scientific Applications:

• Drug Design: Facilitates rational drug design by supplying predicted binding sites and ligand binding geometries for target proteins.
• Protein Engineering: Supports engineering of proteins by predicting how structural modifications may affect ligand interactions.
• Functional Studies: Aids functional analysis by identifying likely ligand-binding residues and generating structural models of protein-ligand complexes.

Methodology:

Combines comparative structural analysis of homologous proteins with known binding sites and molecular docking to identify potential binding sites and predict ligand identity and binding poses.