Can bioinformatics help in the identification of moonlighting proteins?
Hernández, Sergio (Universitat Autònoma de Barcelona. Institut de Biotecnologia i de Biomedicina "Vicent Villar Palasí")
Calvo, Alejandra (Universidad de la República Regional Norte-Salto. Laboratorio de Inmunología)
Ferragut, Gabriela (Universidad de la República Regional Norte-Salto. Laboratorio de Inmunología)
Franco Serrano, Luis (Universitat Autònoma de Barcelona. Institut de Biotecnologia i de Biomedicina "Vicent Villar Palasí")
Hermoso, Antoni (Universitat Autònoma de Barcelona. Institut de Biotecnologia i de Biomedicina "Vicent Villar Palasí")
Amela Abellan, Isaac (Universitat Autònoma de Barcelona. Institut de Biotecnologia i de Biomedicina "Vicent Villar Palasí")
Gómez, Antonio (Institut d'Investigació Biomèdica de Bellvitge)
Querol Murillo, Enrique (Universitat Autònoma de Barcelona. Departament de Bioquímica i de Biologia Molecular)
Cedano Rodríguez, Juan Antonio (Universidad de la República Regional Norte-Salto. Laboratorio de Inmunología)

Data:	2014
Resum:	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 functionalmotifs, 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.
Ajuts:	Ministerio de Ciencia e Innovación BIO2013-48704-R Ministerio de Ciencia e Innovación BFU2010-22209-C02-01
Drets:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Llengua:	Anglès
Document:	Article ; recerca ; Versió publicada
Matèria:	Bioinformatics ; Moonlighting protein ; Multitasking protein
Publicat a:	Biochemical Society Transactions, Vol. 42, issue 6 (Dec. 2014) , p. 1692-1697, ISSN 1470-8752

DOI: 10.1042/BST20140241

6 p, 665.3 KB

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