Literature DB >> 23186336

Protein contact networks: an emerging paradigm in chemistry.

L Di Paola1, M De Ruvo, P Paci, D Santoni, A Giuliani.   

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Year:  2012        PMID: 23186336     DOI: 10.1021/cr3002356

Source DB:  PubMed          Journal:  Chem Rev        ISSN: 0009-2665            Impact factor:   60.622


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  61 in total

1.  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

2.  Network representation of protein interactions: Theory of graph description and analysis.

Authors:  Dennis Kurzbach
Journal:  Protein Sci       Date:  2016-06-19       Impact factor: 6.725

3.  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

4.  Dynamical important residue network (DIRN): network inference via conformational change.

Authors:  Quan Li; Ray Luo; Hai-Feng Chen
Journal:  Bioinformatics       Date:  2019-11-01       Impact factor: 6.937

Review 5.  Network Re-Wiring During Allostery and Protein-Protein Interactions: A Graph Spectral Approach.

Authors:  Vasundhara Gadiyaram; Anasuya Dighe; Sambit Ghosh; Saraswathi Vishveshwara
Journal:  Methods Mol Biol       Date:  2021

6.  Community Network Analysis of Allosteric Proteins.

Authors:  Ivan Rivalta; Victor S Batista
Journal:  Methods Mol Biol       Date:  2021

7.  Disclosing Allostery Through Protein Contact Networks.

Authors:  Luisa Di Paola; Giampiero Mei; Almerinda Di Venere; Alessandro Giuliani
Journal:  Methods Mol Biol       Date:  2021

8.  The PyInteraph Workflow for the Study of Interaction Networks From Protein Structural Ensembles.

Authors:  Matteo Lambrughi; Valentina Sora; Matteo Tiberti
Journal:  Methods Mol Biol       Date:  2021

Review 9.  Building Bridges Between Structural and Network-Based Systems Biology.

Authors:  Christos T Chasapis
Journal:  Mol Biotechnol       Date:  2019-03       Impact factor: 2.695

10.  Residue Interaction Network Analysis Predicts a Val24-Ile31 Interaction May be Involved in Preventing Amyloid-Beta (1-42) Primary Nucleation.

Authors:  Jeddidiah W D Griffin; Patrick C Bradshaw
Journal:  Protein J       Date:  2021-02-10       Impact factor: 2.371

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