InterEvDock: a docking server to predict the structure of protein-protein interactions using evolutionary information

Area of Science:

• Structural biology
• Computational biology
• Bioinformatics

Background:

• Protein-protein interactions are crucial for cellular functions.
• Understanding these interactions requires accurate structural modeling.
• Molecular docking is a key computational method for predicting interaction structures.

Purpose of the Study:

• To develop and present InterEvDock, a novel web server for protein-protein docking.
• To leverage co-evolutionary information for enhanced docking accuracy.
• To provide insights into protein binding interfaces for experimental validation.

Main Methods:

• Utilizes a rigid-body docking strategy with the FRODOCK program.
• Employs InterEvScore and SOAP-PP statistical potentials for re-scoring.
• Integrates co-evolutionary information via the InterEvScore potential.

Main Results:

• Achieved 49% accuracy in identifying correct models among the top 10 for rigid-body cases using evolutionary information.
• Successfully predicted interface residues with 91% accuracy in benchmark tests.
• Provides 10 consensus models and 10 predicted interface residues.

Conclusions:

• InterEvDock is an efficient tool for exploring structural interactomes from an evolutionary perspective.
• The server offers valuable guidelines for experimental mutagenesis studies.
• Co-evolutionary information significantly improves protein docking predictions.