CCharPPI

CCharPPI characterizes structural features of protein-protein interactions (PPIs) by computing biophysical and energetic parameters for interface analysis.


Key Features:

  • Comprehensive Parameter Calculation: Calculates up to 108 parameters essential for PPI analysis, including electrostatics, desolvation, and hydrogen bonding assessments.
  • Interface Analysis: Evaluates interface packing and computes complementarity scores to assess how well protein surfaces fit together.
  • Empirical Potentials: Computes empirical potentials at various resolutions to analyze interactions at different levels of detail.
  • Docking Potentials and Composite Scoring Functions: Computes docking potentials and composite scoring functions to predict binding affinity and stability of protein complexes.

Scientific Applications:

  • Structural biology: Enables structural characterization of PPIs through detailed biophysical and energetic parameterization of interfaces.
  • Computational chemistry: Supports analysis of electrostatics, desolvation, hydrogen bonding, empirical potentials, and docking potentials for energetic and mechanistic studies.
  • Bioinformatics and integrative modeling: Facilitates integration of multiple biophysical models for comparative characterization of protein interactions without reimplementing model parameters.

Methodology:

Calculates up to 108 parameters, including models of electrostatics, desolvation models, hydrogen bonding assessments; evaluates interface packing and complementarity scores; computes empirical potentials at various resolutions; and derives docking potentials and composite scoring functions.

Topics

Details

Maturity:
Mature
Cost:
Free of charge (with restrictions)
Tool Type:
web application
Operating Systems:
Linux, Windows, Mac
Programming Languages:
Python
Added:
10/11/2016
Last Updated:
11/24/2024

Operations

Publications

Moal IH, Jiménez-García B, Fernández-Recio J. CCharPPI web server: computational characterization of protein–protein interactions from structure. Bioinformatics. 2014;31(1):123-125. doi:10.1093/bioinformatics/btu594. PMID:25183488.

Documentation