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Evaluating Protein Sequence Signatures Inferred from Protein-Protein Interaction Data by Gene Ontology Annotations

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7 Author(s)
Maruyama, O. ; Fac. of Math., Kyushu Univ., Fukuoka ; Hirakawa, H. ; Iwayanagi, T. ; Ishida, Y.
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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.

Published in:

Bioinformatics and Biomedicine, 2008. BIBM '08. IEEE International Conference on

Date of Conference:

3-5 Nov. 2008