COMMA

COMMA maps residue-level communication networks within proteins by analyzing dynamic properties from all-atom molecular dynamics simulations to identify communication blocks and communicating segment pairs relevant to allosteric regulation and mutation effects.


Key Features:

  • Residue-Based Dynamic Properties: Extracts residue-level dynamic properties from all-atom molecular dynamics simulations.
  • Graph Theoretic Framework Integration: Integrates extracted residue dynamics into a graph theoretic framework to identify and characterize groups of residues mediating short- and long-range communication.
  • Identification of Communication Blocks and Communicating Segment Pairs: Defines "communication blocks" and "communicating segment pairs" to distinguish roles of protein regions and quantify communication strengths.

Scientific Applications:

  • Comparative Analysis: Compares dynamical behaviors of different proteins or of the same protein under varying conditions.
  • Allosteric Regulation Identification: Pinpoints residues and regions implicated in allosteric signal transmission.
  • Mechanistic Insights into Mutations: Provides mechanistic explanations for the effects of deleterious mutations on protein dynamics.
  • Application to Archetypal Proteins: Has been applied to protein A, tyrosine kinase KIT, and tumor suppressor p53 to illustrate its analytical use.

Methodology:

Extract residue-level dynamic properties from all-atom molecular dynamics simulations, integrate these data into a graph theoretic framework, and identify communication blocks and communicating segment pairs to evaluate connections and communication strengths.

Topics

Details

Tool Type:
command-line tool
Operating Systems:
Linux, Windows, Mac
Programming Languages:
C++, Python
Added:
12/18/2017
Last Updated:
1/13/2019

Operations

Publications

Karami Y, Laine E, Carbone A. Dissecting protein architecture with communication blocks and communicating segment pairs. BMC Bioinformatics. 2016;17(S2). doi:10.1186/s12859-015-0855-y. PMID:26823083. PMCID:PMC4959365.

Documentation

Links