dc.contributor.author |
Espadaler Mazo, Jordi |
dc.contributor.author |
Eswar, Narayanan |
dc.contributor.author |
Querol Murillo, Enrique |
dc.contributor.author |
Avilés, Francesc X. |
dc.contributor.author |
Sali, Andrej |
dc.contributor.author |
Martí Renom, Marc A. |
dc.contributor.author |
Oliva Miguel, Baldomero |
dc.date |
2008 |
dc.identifier |
https://ddd.uab.cat/record/113569 |
dc.identifier |
urn:10.1186/1471-2105-9-249 |
dc.identifier |
urn:oai:ddd.uab.cat:113569 |
dc.identifier |
urn:pmid:18505562 |
dc.identifier |
urn:scopus_id:45749119940 |
dc.identifier |
urn:wos_id:000256829500001 |
dc.identifier |
urn:altmetric_id:4321763 |
dc.identifier |
urn:oai:egreta.uab.cat:publications/34e3d0b2-df23-41d8-b9d3-fe8e0b628658 |
dc.identifier |
urn:pmc-uid:2430716 |
dc.identifier |
urn:pmcid:PMC2430716 |
dc.identifier |
urn:oai:pubmedcentral.nih.gov:2430716 |
dc.format |
application/pdf |
dc.format |
application/pdf |
dc.language |
eng |
dc.publisher |
|
dc.relation |
Ministerio de Educación y Ciencia BIO2005-00533 |
dc.relation |
Ministerio de Educación y Ciencia BIO2007-67904-C02-01 |
dc.relation |
Ministerio de Educación y Ciencia BIO2007-66670 |
dc.relation |
Ministerio de Educación y Ciencia BIO2007-68046 |
dc.relation |
Ministerio de Educación y Ciencia PSE-010000-2007-1 |
dc.relation |
BMC bioinformatics ; Vol. 9, N. 249 (May 2008), p. 1-8 |
dc.rights |
open access |
dc.rights |
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. |
dc.rights |
https://creativecommons.org/licenses/by/3.0/ |
dc.title |
Prediction of enzyme function by combining sequence similarity and protein interactions |
dc.type |
Article |
dc.description.abstract |
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. |