Literature DB >> 20094659

Random network behaviour of protein structures.

K V Brinda1, Saraswathi Vishveshwara, Smitha Vishveshwara.   

Abstract

Geometric and structural constraints greatly restrict the selection of folds adapted by protein backbones, and yet, folded proteins show an astounding diversity in functionality. For structure to have any bearing on function, it is thus imperative that, apart from the protein backbone, other tunable degrees of freedom be accountable. Here, we focus on side-chain interactions, which non-covalently link amino acids in folded proteins to form a network structure. At a coarse-grained level, we show that the network conforms remarkably well to realizations of random graphs and displays associated percolation behavior. Thus, within the rigid framework of the protein backbone that restricts the structure space, the side-chain interactions exhibit an element of randomness, which account for the functional flexibility and diversity shown by proteins. However, at a finer level, the network exhibits deviations from these random graphs which, as we demonstrate for a few specific examples, reflect the intrinsic uniqueness in the structure and stability, and perhaps specificity in the functioning of biological proteins.

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Year:  2009        PMID: 20094659     DOI: 10.1039/b903019k

Source DB:  PubMed          Journal:  Mol Biosyst        ISSN: 1742-2051


  7 in total

1.  Interaction energy based protein structure networks.

Authors:  M S Vijayabaskar; Saraswathi Vishveshwara
Journal:  Biophys J       Date:  2010-12-01       Impact factor: 4.033

2.  Analysis of core-periphery organization in protein contact networks reveals groups of structurally and functionally critical residues.

Authors:  Arnold Emerson Isaac; Sitabhra Sinha
Journal:  J Biosci       Date:  2015-10       Impact factor: 1.826

3.  Percolation-like phase transitions in network models of protein dynamics.

Authors:  Jeffrey K Weber; Vijay S Pande
Journal:  J Chem Phys       Date:  2015-06-07       Impact factor: 3.488

4.  Chokepoints in Mechanical Coupling Associated with Allosteric Proteins: The Pyruvate Kinase Example.

Authors:  Lewis E Johnson; Bojana Ginovska; Aron W Fenton; Simone Raugei
Journal:  Biophys J       Date:  2019-04-02       Impact factor: 4.033

5.  Role of long- and short-range hydrophobic, hydrophilic and charged residues contact network in protein's structural organization.

Authors:  Dhriti Sengupta; Sudip Kundu
Journal:  BMC Bioinformatics       Date:  2012-06-21       Impact factor: 3.169

6.  Network pharmacology: a new approach for chinese herbal medicine research.

Authors:  Gui-Biao Zhang; Qing-Ya Li; Qi-Long Chen; Shi-Bing Su
Journal:  Evid Based Complement Alternat Med       Date:  2013-05-20       Impact factor: 2.629

Review 7.  Allosteric Regulation at the Crossroads of New Technologies: Multiscale Modeling, Networks, and Machine Learning.

Authors:  Gennady M Verkhivker; Steve Agajanian; Guang Hu; Peng Tao
Journal:  Front Mol Biosci       Date:  2020-07-09
  7 in total

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