Name
Title | ||
|---|---|---|
Inga: Protein Function Prediction Combining Interaction Networks, Domain Assignments And Sequence Similarity |
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1093/nar/gkv523 | NUCLEIC ACIDS RESEARCH |
Field | DocType | Volume |
Architecture domain,Data mining,Biology,Usability,Inga,Interaction network,Bioinformatics,Genetics,Molecular Sequence Annotation,User interface,Protein function prediction,Web server | Journal | 43 |
Issue | ISSN | Citations |
W1 | 0305-1048 | 10 |
PageRank | References | Authors |
0.54 | 14 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| damiano piovesan | 1 | 58 | 8.54 |
| Manuel Giollo | 2 | 31 | 2.77 |
| Emanuela Leonardi | 3 | 24 | 1.94 |
| Carlo Ferrari | 4 | 44 | 4.81 |
| Silvio C E Tosatto | 5 | 435 | 37.12 |