FiberDock: a web server for flexible induced-fit backbone refinement in molecular docking

Area of Science:

• Computational Biology
• Structural Bioinformatics
• Molecular Modeling

Background:

• Protein-protein docking predicts complex structures from individual protein components.
• Docking involves candidate generation and refinement stages.
• Modeling conformational changes, especially backbone flexibility, is challenging but essential for accuracy.

Purpose of the Study:

• To introduce FiberDock, the first web server for protein-protein docking refinement that explicitly models backbone and side-chain flexibility.
• To enhance the accuracy of protein complex structure prediction by incorporating conformational dynamics.

Main Methods:

• FiberDock accepts up to 100 protein-protein docking candidates.
• It models backbone and side-chain movements during protein complex formation.
• Refined structures are scored using an energy function.

Main Results:

• FiberDock provides a refined set of protein complex structures.
• The server accounts for crucial conformational flexibility in both backbone and side chains.
• It offers an energy-based scoring system to rank refined models.

Conclusions:

• FiberDock addresses the challenge of protein backbone flexibility in docking refinement.
• The web server offers a free and accessible tool for improving protein complex structure prediction.
• Accurate modeling of flexibility leads to more reliable docking results.