Prediction of enzyme function by combining sequence similarity and protein interactions
Data(s) |
02/07/2013
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Resumo |
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. |
Identificador | |
Idioma(s) |
eng |
Publicador |
BioMed Central |
Direitos |
(c) 2008 Espadaler et al. Creative Commons Attribution License info:eu-repo/semantics/openAccess <a href="http://creativecommons.org/licenses/by/2.0/">http://creativecommons.org/licenses/by/2.0/</a> |
Palavras-Chave | #Interaccions proteïna-proteïna #Proteïnes -- Anàlisi |
Tipo |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |