Literature DB >> 18945619

Creative elements: network-based predictions of active centres in proteins and cellular and social networks.

Peter Csermely1.   

Abstract

Active centres and hot spots of proteins have a paramount importance in enzyme action, protein-complex formation and drug design. Recently, several publications successfully applied the analysis of residue networks to predict active centres in proteins. Most real-world networks show several properties, such as small-worldness or scale-free degree distribution, which are rather general features of networks, from molecules to society at large. Using analogy, I propose that existing findings and methodology already enable us to detect active centres in cells and can be expanded to social networks and ecosystems. Members of these active centres are termed here as 'creative elements' of their respective networks, which can help them to survive unprecedented, novel challenges and play a key part in the development, survival and evolvability of complex systems.

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Year:  2008        PMID: 18945619     DOI: 10.1016/j.tibs.2008.09.006

Source DB:  PubMed          Journal:  Trends Biochem Sci        ISSN: 0968-0004            Impact factor:   13.807


  26 in total

1.  Topological analysis and interactive visualization of biological networks and protein structures.

Authors:  Nadezhda T Doncheva; Yassen Assenov; Francisco S Domingues; Mario Albrecht
Journal:  Nat Protoc       Date:  2012-03-15       Impact factor: 13.491

2.  Rationale for more diverse inhibitors in competition with substrates in HIV-1 protease.

Authors:  Nevra Ozer; Celia A Schiffer; Turkan Haliloglu
Journal:  Biophys J       Date:  2010-09-08       Impact factor: 4.033

3.  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 4.  Structure and dynamics of molecular networks: a novel paradigm of drug discovery: a comprehensive review.

Authors:  Peter Csermely; Tamás Korcsmáros; Huba J M Kiss; Gábor London; Ruth Nussinov
Journal:  Pharmacol Ther       Date:  2013-02-04       Impact factor: 12.310

5.  Induced fit, conformational selection and independent dynamic segments: an extended view of binding events.

Authors:  Peter Csermely; Robin Palotai; Ruth Nussinov
Journal:  Trends Biochem Sci       Date:  2010-06-11       Impact factor: 13.807

Review 6.  Protein-protein interaction networks: how can a hub protein bind so many different partners?

Authors:  Chung-Jung Tsai; Buyong Ma; Ruth Nussinov
Journal:  Trends Biochem Sci       Date:  2009-12       Impact factor: 13.807

7.  An overview of the importance of conformational flexibility in gene regulation by the transcription factors.

Authors:  Shagufta H Khan; Raj Kumar
Journal:  J Biophys       Date:  2010-02-04

8.  Community landscapes: an integrative approach to determine overlapping network module hierarchy, identify key nodes and predict network dynamics.

Authors:  István A Kovács; Robin Palotai; Máté S Szalay; Peter Csermely
Journal:  PLoS One       Date:  2010-09-02       Impact factor: 3.240

9.  Network strategies to understand the aging process and help age-related drug design.

Authors:  Gábor I Simkó; Dávid Gyurkó; Dániel V Veres; Tibor Nánási; Peter Csermely
Journal:  Genome Med       Date:  2009-09-28       Impact factor: 11.117

10.  Co-authorship network analysis: a powerful tool for strategic planning of research, development and capacity building programs on neglected diseases.

Authors:  Carlos Medicis Morel; Suzanne Jacob Serruya; Gerson Oliveira Penna; Reinaldo Guimarães
Journal:  PLoS Negl Trop Dis       Date:  2009-08-18
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