ClusPro: performance in CAPRI rounds 6-11 and the new server

Area of Science:

• Computational biology
• Structural bioinformatics
• Biochemistry

Background:

• Protein-protein interactions are crucial for biological processes.
• Accurate prediction of protein complex structures is essential for understanding function.
• Automated tools are needed to streamline the process of structure-based prediction.

Purpose of the Study:

• To introduce ClusPro, a fully automated web-based program for protein structure docking.
• To present the performance of ClusPro in the Critical Assessment of PRedicted Interactions (CAPRI) challenges.
• To describe the integration of the PIPER docking program into ClusPro.

Main Methods:

• Rigid body docking, energy screening, and clustering algorithms are employed.
• Users can upload protein coordinate files or PDB codes.
• The enhanced ClusPro version utilizes the PIPER program, based on Fast Fourier Transform (FFT) correlation with pairwise potentials.

Main Results:

• ClusPro provides a ranked list of putative protein complexes.
• ClusPro has made acceptable predictions in CAPRI rounds 6-11 for specific targets.
• The new version with PIPER improves the generation of near-native docked structures.

Conclusions:

• ClusPro is an effective automated tool for protein structure docking.
• The integration of PIPER enhances the accuracy and scope of ClusPro's predictions.
• ClusPro facilitates the study of protein-protein interactions through computational modeling.