pPerturb

pPerturb predicts long-distance energetic couplings and mutation-induced stability changes within proteins to quantify intraprotein interaction network strength and characterize allosteric signal propagation for residues up to approximately 12-15 Å.


Key Features:

  • Long-distance coupling prediction: Predicts energetic couplings between residues separated by up to approximately 12-15 Å.
  • Mutation-induced stability changes: Estimates stability changes caused by single-point mutations and their destabilization effects.
  • Intraprotein interaction quantification: Rapidly quantifies the strength of intraprotein interaction networks in experimentally relevant units.
  • First-shell and second-shell interactions: Accounts for both first-shell (direct neighbors) and second-shell interactions in analyses.
  • Residue-specific outputs: Provides residue-specific predictions of coupling distances and overall perturbation magnitudes.
  • Validation: Methodology is experimentally validated against a dataset of 375 mutations across 19 proteins.
  • Local stability and packing analysis: Predicts local stabilities, side chain orientation or packing changes upon ligand binding, and impacts on buried residues.
  • Allosteric insights: Offers measures relevant to allosteric signal propagation characteristics and the distribution of energetic couplings.

Scientific Applications:

  • Allosteric pathway analysis: Characterizes propagation of allosteric signals through distributions of energetic couplings.
  • Mutational effect assessment: Evaluates destabilization effects and stability changes induced by mutations.
  • Residue-level stability mapping: Maps local stabilities and identifies residues with altered packing or side chain orientations after ligand binding.
  • Buried residue impact assessment: Assesses the impact of mutations on buried residues and their contribution to overall protein stability.

Methodology:

An experimentally validated perturbation approach is applied and validated against a dataset of 375 mutations across 19 proteins.

Topics

Details

Added:
1/18/2021
Last Updated:
1/27/2021

Operations

Publications

Gopi S, Devanshu D, Rajasekaran N, Anantakrishnan S, Naganathan AN. pPerturb: A Server for Predicting Long-Distance Energetic Couplings and Mutation-Induced Stability Changes in Proteins via Perturbations. ACS Omega. 2020;5(2):1142-1146. doi:10.1021/acsomega.9b03371. PMID:31984271. PMCID:PMC6977024.

PMID: 31984271
PMCID: PMC6977024
Funding: - Department of Biotechnology , Ministry of Science and Technology: BT/PR26099/BID/7/811/2017