PreBI

PreBI predicts biological protein–protein interfaces from protein crystal structures in PDB format by enumerating symmetry-generated candidate interfaces and ranking them using electrostatic potential, hydrophobicity, shape complementarity, and interface area metrics.

Key Features:

• Interface prediction: Predicts biological interfaces from protein crystal structures in PDB format by enumerating candidate interfaces using symmetry operations specified in the coordinate file.
• Complementarity analysis: Evaluates electrostatic potential, hydrophobicity, and shape complementarity for each candidate interface to quantify surface interaction compatibility.
• Interface area consideration: Incorporates interface area alongside complementarity metrics to prioritize and rank the most probable biological interfaces.

Scientific Applications:

• Structural biology: Supports structural biology studies to elucidate protein–protein interaction mechanisms central to cellular function and disease.
• Functional interpretation: Informs functional interpretation of complexes by identifying likely biological interfaces.
• Inhibitor design: Guides inhibitor design for therapeutic targets by highlighting interface regions relevant to targeting protein–protein interactions.
• Drug discovery: Characterizes molecular recognition relevant to drug discovery.

Methodology:

Accept PDB-format structure files as input; generate candidate interfaces by applying symmetry operations encoded in the coordinate file; compute interface complementarity metrics (electrostatic potential, hydrophobicity, and shape compatibility) for each candidate; rank and select the most probable biological interface using a combined criterion of complementarity scores and interface area.