ArticleBMC bioinformatics2016
Dissecting protein architecture with communication blocks and communicating segment pairs.
Article in BMC bioinformatics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Cysteine hyperoxidation rewires communication pathways in the nucleosome and destabilizes the dyad.Computational and structural biotechnology journal · 2024Article
- Structural determination of Streptococcus pyogenes M1 protein interactions with human immunoglobulin G using integrative structural biology.PLoS computational biology · 2021Article
- Predicting substitutions to modulate disorder and stability in coiled-coils.BMC bioinformatics · 2020Article
- Use of Computational Biochemistry for Elucidating Molecular Mechanisms of Nitric Oxide Synthase.Computational and structural biotechnology journal · 2019Review
- "Infostery" analysis of short molecular dynamics simulations identifies highly sensitive residues and predicts deleterious mutations.Scientific reports · 2018Article
- An optimal distance cutoff for contact-based Protein Structure Networks using side-chain centers of mass.Scientific reports · 2017Article
- The Molecular Mechanism of P2Y1 Receptor Activation.Angewandte Chemie (International ed. in English) · 2016Article
Corrections and comments
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Authors and funding
3 authors.
Funding
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Abstract
backgroundProteins adapt to environmental conditions by changing their shape and motions. Characterising protein conformational dynamics is increasingly recognised as necessary to understand how proteins function. Given a conformational ensemble, computational tools are needed to extract in a systematic way pertinent and comprehensive biological information.
resultsHere, we present a method, Communication Mapping (COMMA), to decipher the dynamical architecture of a protein. The method first extracts residue-based dynamic properties from all-atom molecular dynamics simulations. Then, it integrates them in a graph theoretic framework, where it identifies groups of residues or protein regions that mediate short- and long-range communication. COMMA introduces original concepts to contrast the different roles played by these regions, namely communication blocks and communicating segment pairs, and evaluates the connections and communication strengths between them. We show the utility and capabilities of COMMA by applying it to three archetypal proteins, namely protein A, the tyrosine kinase KIT and the tumour suppressor p53.
conclusionOur method permits to compare in a direct way the dynamical behaviour either of proteins with different characteristics or of the same protein in different conditions. It is useful to identify residues playing a key role in protein allosteric regulation and to explain the effects of deleterious mutations in a mechanistic way. COMMA is a fully automated tool with broad applicability. It is freely available to the community at www.lcqb.upmc.fr/COMMA .
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