DocumentCode
3520024
Title
Evaluating Protein Sequence Signatures Inferred from Protein-Protein Interaction Data by Gene Ontology Annotations
Author
Maruyama, Osamu ; Hirakawa, Hideki ; Iwayanagi, Takao ; Ishida, Yoshiko ; Takeda, Shizu ; Otomo, Jun ; Kuhara, Satoru
Author_Institution
Fac. of Math., Kyushu Univ., Fukuoka
fYear
2008
fDate
3-5 Nov. 2008
Firstpage
417
Lastpage
420
Abstract
We propose a systematic method to find sequence signatures of proteins which share a common interacting partner, using a protein similarity measure based on gene ontology (GO) annotations. In a computational experiment on our original human data set of protein-protein interactions determined by Y2H assays, we have succeeded in discovering convincing candidates for interacting sites and other functional regions.
Keywords
bioinformatics; genomics; molecular biophysics; ontologies (artificial intelligence); proteins; Y2H assays; gene ontology annotation; protein sequence; protein similarity measure; protein-protein interaction; Bioinformatics; Ontologies; Protein sequence; Protein-protein interaction; gene ontology; interaction site; sequence signature;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics and Biomedicine, 2008. BIBM '08. IEEE International Conference on
Conference_Location
Philadelphia, PA
Print_ISBN
978-0-7695-3452-7
Type
conf
DOI
10.1109/BIBM.2008.29
Filename
4684931
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