ArticleMethods in molecular biology (Clifton, N.J.)2021
Community Network Analysis of Allosteric Proteins.
Article in Methods in molecular biology (Clifton, N.J.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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Who cites it
7 citing papers in PubMed.
- Modulation of Allostery with Multiple Mechanisms by Hotspot Mutations in TetR.Journal of the American Chemical Society · 2024Article
- Modulation of Allostery with Multiple Mechanisms by Hotspot Mutations in TetR.bioRxiv : the preprint server for biology · 2023Article
- The "violin model": Looking at community networks for dynamic allostery.The Journal of chemical physics · 2023Review
- Article
- MptpA Kinetics Enhanced by Allosteric Control of an Active Conformation.Journal of molecular biology · 2022Article
- Molecular Dynamics Simulations Establish the Molecular Basis for the Broad Allostery Hotspot Distributions in the Tetracycline Repressor.Journal of the American Chemical Society · 2022Article
- Distinct allosteric pathways in imidazole glycerol phosphate synthase from yeast and bacteria.Biophysical journal · 2022Article
Corrections and comments
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Authors and funding
2 authors.
Funding
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Abstract
Community network analysis (CNA) of correlated protein motions allows modeling of signals propagation in allosteric proteic systems. From standard classical molecular dynamics (MD) simulations, protein motions can be analysed by means of mutual information between pairs of amino acid residues, providing dynamical weighted networks that contains fundamental information of the communication among amino acids. The CNA method has been successfully applied to a variety of allosteric systems including an enzyme, a nuclear receptor and a bacterial adaptive immune system, providing characterization of the allosteric pathways. This method is complementary to network analyses based on different metrics and it is particularly powerful for studying large proteic systems, as it provides a coarse-grained view of the communication flows within large and complex networks.
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Registered trials
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