期刊
NUCLEIC ACIDS RESEARCH
卷 43, 期 W1, 页码 W134-W140出版社
OXFORD UNIV PRESS
DOI: 10.1093/nar/gkv523
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资金
- FIRB Futuro in Ricerca [RBFR08ZSXY]
- University of Padua [CPDR123473]
- AIRC [MFAG12740]
- Italian Ministry of Health [GR-2011-02346845, GR-2011-02347754]
- FIRC Fondazione Italiana per la Ricerca sul Cancro [16621]
- FIRB Futuro in Ricerca
Identifying protein functions can be useful for numerous applications in biology. The prediction of gene ontology (GO) functional terms from sequence remains however a challenging task, as shown by the recent CAFA experiments. Here we present INGA, a web server developed to predict protein function from a combination of three orthogonal approaches. Sequence similarity and domain architecture searches are combined with protein-protein interaction network data to derive consensus predictions for GO terms using functional enrichment. The INGA server can be queried both programmatically through RESTful services and through a web interface designed for usability. The latter provides output supporting the GO term predictions with the annotating sequences. INGA is validated on the CAFA-1 data set and was recently shown to perform consistently well in the CAFA-2 blind test. The INGA web server is available from URL: http://protein.bio.unipd.it/inga.
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