Can bioinformatics help in the identification of moonlighting proteins?

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• dc.contributor.author Hernández, Sergi
• dc.contributor.author Franco, Luís
• dc.contributor.author Calvo Vidal, Verónica Alejandra
• dc.contributor.author Ferragut, Gabriela
• dc.contributor.author Hermoso Pulido, Antonio
• dc.contributor.author Amela, Isaac
• dc.contributor.author Gómez, Antonio
• dc.contributor.author Querol, Enrique
• dc.contributor.author Cedano, Juan
• dc.date.accessioned 2024-01-23T07:14:58Z
• dc.date.available 2024-01-23T07:14:58Z
• dc.date.issued 2014
• dc.description.abstract Protein multitasking or moonlighting is the capability of certain proteins to execute two or more unique biological functions. This ability to perform moonlighting functions helps us to understand one of the ways used by cells to perform many complex functions with a limited number of genes. Usually, moonlighting proteins are revealed experimentally by serendipity, and the proteins described probably represent just the tip of the iceberg. It would be helpful if bioinformatics could predict protein multifunctionality, especially because of the large amounts of sequences coming from genome projects. In the present article, we describe several approaches that use sequences, structures, interactomics and current bioinformatics algorithms and programs to try to overcome this problem. The sequence analysis has been performed: (i) by remote homology searches using PSI-BLAST, (ii) by the detection of functional motifs, and (iii) by the co-evolutionary relationship between amino acids. Programs designed to identify functional motifs/domains are basically oriented to detect the main function, but usually fail in the detection of secondary ones. Remote homology searches such as PSI-BLAST seem to be more versatile in this task, and it is a good complement for the information obtained from protein–protein interaction (PPI) databases. Structural information and mutation correlation analysis can help us to map the functional sites. Mutation correlation analysis can be used only in very restricted situations, but can suggest how the evolutionary process of the acquisition of the second function took place.
• dc.description.sponsorship This research was supported by Ministerio de Ciencia e Innovación of Spain [grant numbers BFU2010-22209-C02-01 and BIO2013-48704-R], the Centre de Referència de R+D de Biotecnologia de la Generalitat de Catalunya, La Marató de TV3 [grant number 101930/31/32/33] and the Comisión Coordinadora del Interior de Uruguay.
• dc.format.mimetype application/pdf
• dc.identifier.citation Hernández S, Calvo A, Ferragut G, Franco L, Hermoso A, Amela I, et al. Can bioinformatics help in the identification of moonlighting proteins? Biochemical Society Transactions. 2014 Dec;42(6):1692-7. DOI: 10.1042/BST20140241
• dc.identifier.doi http://dx.doi.org/10.1042/BST20140241
• dc.identifier.issn 0300-5127
• dc.identifier.uri http://hdl.handle.net/10230/58785
• dc.language.iso eng
• dc.publisher Portland Press
• dc.relation.ispartof Biochemical Society Transactions. 2014 Dec;42(6):1692-7
• dc.relation.projectID info:eu-repo/grantAgreement/ES/3PN/BFU2010-22209-C02-01
• dc.relation.projectID info:eu-repo/grantAgreement/ES/1PE/BIO2013-48704-R
• dc.rights This is an Open Access article distributed under the terms of the Creative Commons Attribution Licence (CC-BY) (http://creativecommons.org/licenses/by/3.0/) which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited.
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.rights.uri http://creativecommons.org/licenses/by/3.0/
• dc.subject.keyword Bioinformatics
• dc.subject.keyword Moonlighting protein
• dc.subject.keyword Multitasking protein
• dc.title Can bioinformatics help in the identification of moonlighting proteins?
• dc.type info:eu-repo/semantics/article
• dc.type.version info:eu-repo/semantics/publishedVersion