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.