Functional evaluation of domain-domain interactions and human protein interaction networks.
Bioinformatics
; 23(7): 859-65, 2007 Apr 01.
Article
em En
| MEDLINE
| ID: mdl-17456608
ABSTRACT
MOTIVATION Large amounts of protein and domain interaction data are being produced by experimental high-throughput techniques and computational approaches. To gain insight into the value of the provided data, we used our new similarity measure based on the Gene Ontology (GO) to evaluate the molecular functions and biological processes of interacting proteins or domains. The applied measure particularly addresses the frequent annotation of proteins or domains with multiple GO terms. RESULTS:
Using our similarity measure, we compare predicted domain-domain and human protein-protein interactions with experimentally derived interactions. The results show that our similarity measure is of significant benefit in quality assessment and confidence ranking of domain and protein networks. We also derive useful confidence score thresholds for dividing domain interaction predictions into subsets of low and high confidence. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
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Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Transdução de Sinais
/
Proteínas
/
Análise de Sequência de Proteína
/
Mapeamento de Interação de Proteínas
/
Modelos Biológicos
/
Modelos Químicos
Tipo de estudo:
Prognostic_studies
Limite:
Humans
Idioma:
En
Revista:
Bioinformatics
Ano de publicação:
2007
Tipo de documento:
Article