PPCheck

PPCheck analyzes protein-protein interactions by quantifying structural and energetic characteristics of inter-atomic non-covalent interactions to assess stability and binding energetics of protein complexes.


Key Features:

  • Identification of Protein-Protein Interactions: Identifies interaction sites between proteins using a curated dataset to improve accuracy.
  • Prediction of Interaction Hotspots: Predicts critical interface regions (hotspots) that are essential for binding.
  • Computational Alanine Scanning: Performs computational alanine scanning to assess residue importance by simulating mutations and evaluating effects on binding affinity.
  • Native-Like Docking Pose Prediction: Predicts native-like docking poses of protein complexes to model interaction configurations.
  • Residue Conservation Calculation: Calculates residue conservation at interaction sites to highlight evolutionary significance.

Scientific Applications:

  • Phycocyanin interface analysis: Analyzes protein complexes such as phycocyanin interfaces to characterize interface composition and energetics.
  • Interface composition insights: Reveals the prevalence of hydrophobic residues at protein-protein interfaces.
  • Interface clustering: Identifies that a significant number of interface residues form "standard-size" clusters.
  • Energetic and evolutionary studies: Dissects energetic contributions and conservation to inform structural stability of evolutionarily essential proteins and to support design of protein–bioactive compound interactions.

Methodology:

Analyzes inter-atomic non-covalent interactions including hydrogen bonds, van der Waals, and electrostatic contributions; computes hydrogen bond energy contribution (≈88% observed in phycocyanin interfaces), total binding energies, and normalized energy per residue (typically −6 to −14 kJ/mol); and performs computational alanine scanning and docking-pose prediction.

Topics

Details

Added:
11/14/2019
Last Updated:
1/17/2021

Operations

Publications

Breberina LM, Zlatović MV, Nikolić MR, Stojanović SĐ. Computational Analysis of Non‐covalent Interactions in Phycocyanin Subunit Interfaces. Molecular Informatics. 2019;38(11-12). doi:10.1002/minf.201800145. PMID:31535472.

PMID: 31535472
Funding: - Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja: 172001, 172035