xPyder

xPyder integrates with PyMOL to identify and analyze coupled or communicating residues in protein conformational ensembles using dynamical cross-correlation matrices (DCCMs) and related communication metrics.

Key Features:

• Integration with PyMOL (1.4, 1.5): Direct integration with PyMOL versions 1.4 and 1.5 to combine structural visualization with analytical output.
• DCCM analysis: Computation and analysis of dynamical cross-correlation matrices to identify short- and long-range coupled residues within protein ensembles.
• Extensible communication metrics: Support for additional indices measuring communication propensity or intensity, including assessment of persistence of intra- and intermolecular interactions.
• Publication-quality visualization: Generation of customizable, publication-quality images that represent data derived from DCCMs and other interaction matrices.

Scientific Applications:

• Protein dynamics: Analysis of residue coupling to elucidate dynamic behavior in protein conformational ensembles.
• Structural communication mapping: Identification of communication pathways and routes of structural information transfer within proteins.
• Functional mechanism investigation: Support for studies of conformational changes and mechanisms underlying protein function.
• Interaction network analysis: Examination of intra- and intermolecular interaction persistence to inform models of molecular interactions.
• Experimental data interpretation: Visual and quantitative outputs to aid interpretation of experimental structural and dynamic data and hypothesis generation.

Methodology:

Combines PyMOL visualization with computational analysis of DCCMs and related interaction matrices to identify and analyze coupled residues, with extensibility to additional communication indices.