visitant ::
identificació
|
|||||||||||||||
Cerca | Lliura | Ajuda | Servei de Biblioteques | Sobre el DDD | Català English Español |
Pàgina inicial > Articles > Articles publicats > Prediction of enzyme function by combining sequence similarity and protein interactions |
Data: | 2008 |
Resum: | Background: A number of studies have used protein interaction data alone for protein function prediction. Here, we introduce a computational approach for annotation of enzymes, based on the observation that similar protein sequences are more likely to perform the same function if they share similar interacting partners. Results: The method has been tested against the PSI-BLAST program using a set of 3,890 protein sequences from which interaction data was available. For protein sequences that align with at least 40% sequence identity to a known enzyme, the specificity of our method in predicting the first three EC digits increased from 80% to 90% at 80% coverage when compared to PSI-BLAST. Conclusion: Our method can also be used in proteins for which homologous sequences with known interacting partners can be detected. Thus, our method could increase 10% the specificity of genome-wide enzyme predictions based on sequence matching by PSI-BLAST alone. |
Ajuts: | Ministerio de Educación y Ciencia BIO2005-00533 Ministerio de Educación y Ciencia BIO2007-67904-C02-01 Ministerio de Educación y Ciencia BIO2007-66670 Ministerio de Educación y Ciencia BIO2007-68046 Ministerio de Educación y Ciencia PSE-010000-2007-1 |
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 |
Publicat a: | BMC bioinformatics, Vol. 9, N. 249 (May 2008), p. 1-8, ISSN 1471-2105 |
8 p, 958.4 KB |
1 p, 6.4 KB |