Literature DB >> 27477264

Networks of ProteinProtein Interactions: From Uncertainty to Molecular Details.

Javier Garcia-Garcia1, Jaume Bonet1, Emre Guney1, Oriol Fornes1, Joan Planas1, Baldo Oliva2.   

Abstract

Proteins are the bricks and mortar of cells. The work of proteins is structural and functional, as they are the principal element of the organization of the cell architecture, but they also play a relevant role in its metabolism and regulation. To perform all these functions, proteins need to interact with each other and with other bio-molecules, either to form complexes or to recognize precise targets of their action. For instance, a particular transcription factor may activate one gene or another depending on its interactions with other proteins and not only with DNA. Hence, the ability of a protein to interact with other bio-molecules, and the partners they have at each particular time and location can be crucial to characterize the role of a protein. Proteins rarely act alone; they rather constitute a mingled network of physical interactions or other types of relationships (such as metabolic and regulatory) or signaling cascades. In this context, understanding the function of a protein implies to recognize the members of its neighborhood and to grasp how they associate, both at the systemic and atomic level. The network of physical interactions between the proteins of a system, cell or organism, is defined as the interactome. The purpose of this review is to deepen the description of interactomes at different levels of detail: from the molecular structure of complexes to the global topology of the network of interactions. The approaches and techniques applied experimentally and computationally to attain each level are depicted. The limits of each technique and its integration into a model network, the challenges and actual problems of completeness of an interactome, and the reliability of the interactions are reviewed and summarized. Finally, the application of the current knowledge of protein-protein interactions on modern network medicine and protein function annotation is also explored.
Copyright © 2012 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Keywords:  Computational methods; Experimental methods; Interactome; Interface; Protein interactions

Year:  2012        PMID: 27477264     DOI: 10.1002/minf.201200005

Source DB:  PubMed          Journal:  Mol Inform        ISSN: 1868-1743            Impact factor:   3.353


  7 in total

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Authors:  Rudolf P Rohr; Russell E Naisbit; Christian Mazza; Louis-Félix Bersier
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Review 2.  Prediction of Protein-Protein Binding Affinities from Unbound Protein Structures.

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Journal:  Methods Mol Biol       Date:  2022

3.  ArchDB 2014: structural classification of loops in proteins.

Authors:  Jaume Bonet; Joan Planas-Iglesias; Javier Garcia-Garcia; Manuel A Marín-López; Narcis Fernandez-Fuentes; Baldo Oliva
Journal:  Nucleic Acids Res       Date:  2013-11-21       Impact factor: 16.971

4.  Protein-protein interactions prediction based on iterative clique extension with gene ontology filtering.

Authors:  Lei Yang; Xianglong Tang
Journal:  ScientificWorldJournal       Date:  2014-01-22

5.  On the mechanisms of protein interactions: predicting their affinity from unbound tertiary structures.

Authors:  Manuel Alejandro Marín-López; Joan Planas-Iglesias; Joaquim Aguirre-Plans; Jaume Bonet; Javier Garcia-Garcia; Narcis Fernandez-Fuentes; Baldo Oliva
Journal:  Bioinformatics       Date:  2018-02-15       Impact factor: 6.937

6.  INTERSPIA: a web application for exploring the dynamics of protein-protein interactions among multiple species.

Authors:  Daehong Kwon; Daehwan Lee; Juyeon Kim; Jongin Lee; Mikang Sim; Jaebum Kim
Journal:  Nucleic Acids Res       Date:  2018-07-02       Impact factor: 16.971

7.  Rosetta FunFolDes - A general framework for the computational design of functional proteins.

Authors:  Jaume Bonet; Sarah Wehrle; Karen Schriever; Che Yang; Anne Billet; Fabian Sesterhenn; Andreas Scheck; Freyr Sverrisson; Barbora Veselkova; Sabrina Vollers; Roxanne Lourman; Mélanie Villard; Stéphane Rosset; Thomas Krey; Bruno E Correia
Journal:  PLoS Comput Biol       Date:  2018-11-19       Impact factor: 4.475

  7 in total

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