PyWATER

PyWATER: Conserved Water Molecule Identification in Protein Structures

PyWATER identifies conserved water molecules across superimposed protein structures by performing clustering analysis of water positions derived from high-resolution X-ray crystallography data.

Key Features:

• Water Position Clustering: Compares and clusters water molecule coordinates across multiple protein structures within the same family.
• Consensus Water Detection: Identifies water molecules consistently located in similar spatial positions, indicating structural conservation.

Scientific Applications:

• Protein Structure Analysis: Characterizes conserved water molecules contributing to structural stability, conformational flexibility, and ligand binding to support drug design and protein engineering.

Methodology:

Water molecule coordinates are extracted from high-resolution X-ray crystallography structures of homologous proteins, spatially superimposed, and subjected to clustering analysis to detect recurrent water positions representing conserved consensus water molecules.