New additions to the ClusPro server motivated by CAPRI

Area of Science:

• Computational Biology
• Structural Bioinformatics
• Protein-Protein Interactions

Background:

• The ClusPro server is a widely utilized tool for protein-protein docking.
• Previous versions performed rigid body docking, clustering, and energy minimization.
• Recent challenges in protein-protein interaction (PPI) prediction highlighted areas for improvement.

Purpose of the Study:

• To enhance the ClusPro protein-protein docking server with new functionalities.
• To address limitations identified in recent Critical Assessment of PRedicted Interactions (CAPRI) challenges.
• To improve the accuracy and efficiency of protein complex modeling.

Main Methods:

• Incorporation of small-angle X-ray scattering (SAXS) data into docking protocols.
• Integration of pairwise interaction data as restraints for docking.
• Development of algorithms for discriminating between biological and crystallographic dimers.
• Implementation of a fast docking algorithm utilizing 5D rotational manifold FFT.
• Creation of an algorithm for docking flexible peptides with sequence motifs.

Main Results:

• New options enhance ClusPro's capability in protein complex prediction.
• Developed a rapid docking algorithm for increased computational efficiency.
• Introduced methods for improved discrimination of biologically relevant protein complexes.
• Identified ongoing needs for refining docking of homology models and efficient refinement algorithms.

Conclusions:

• The implemented enhancements are expected to significantly improve ClusPro's utility.
• Further development is required for homology model docking and efficient refinement.
• Addressing parameter selection and model ranking remains crucial for server performance.