FiberDock

FiberDock refines protein-protein docking models by modeling backbone and side-chain flexibility to improve identification of near-native complex structures.

Key Features:

• Backbone flexibility: Explicitly models backbone conformational changes during docking refinement.
• Side-chain flexibility: Adjusts side-chain conformations to improve interface packing and fit.
• Refinement-focused workflow: Operates on candidate sets produced by initial docking and specializes in the refinement stage.
• Batch refinement: Refines up to 100 potential docking candidates per run.
• Energy-based scoring: Evaluates refined structures using an energy function that scores candidate stability and accuracy.
• Handling increased search space: Accounts for the numerous degrees of freedom introduced by backbone flexibility during refinement.

Scientific Applications:

• Docking model improvement: Improves the accuracy of docking-generated models to increase the likelihood of identifying near-native solutions.
• Modeling induced-fit effects: Captures conformational changes that occur upon protein-protein binding.
• Complex structure prediction: Assists in predicting the structure of protein complexes from known atomic structures of individual proteins.

Methodology:

Refinement adjusts both backbone and side-chain conformations for candidate docking models, processes up to 100 candidates, and evaluates refined structures using an energy function that scores stability and accuracy.