FireDock

FireDock refines and scores protein-protein docking solutions to optimize side-chain conformations and rigid-body orientations for improved protein complex structure prediction.

Key Features:

• Flexible refinement and scoring: Performs high-throughput flexible refinement and scoring of protein-protein docking solutions.
• Two-tiered protocol with PatchDock: Begins with a global rigid-body search using PatchDock to identify feasible orientations.
• Side-chain and rigid-body optimization: Introduces flexibility by optimizing side-chain conformations and refining rigid-body orientations of candidate poses.
• Automated PatchDock integration: Accepts PatchDock candidate solutions that are automatically redirected to FireDock for refinement.
• Scoring and ranking: Scores refined docking candidates to enable ranking of predicted complexes.
• 3D visualization: Provides three-dimensional visualization capabilities for inspecting refined docking models.
• Benchmark validation: Protocol effectiveness has been validated through extensive testing on benchmark datasets.

Scientific Applications:

• Protein complex structure prediction: Improves structural models of protein-protein complexes by refining docking poses.
• Refinement of docking outputs: Refines and rescoring outputs from rigid-body docking algorithms such as PatchDock.
• Structural analysis of interactions: Enhances modeling accuracy of interaction interfaces via side-chain and rigid-body optimization.
• High-throughput docking studies: Enables large-scale refinement and scoring of multiple docking solutions.

Methodology:

Employs a two-tiered protocol: a global rigid-body search using PatchDock followed by FireDock’s flexible refinement that optimizes side-chain conformations and rigid-body orientations and scores the resulting candidates, with PatchDock outputs redirectable to FireDock.