Evaluating protein sequence signatures inferred from protein-protein interaction data by gene ontology annotations

Osamu Maruyama, Hideki Hirakawa, Takao Iwayanagi, Yoshiko Ishida, Shizu Takeda, Jun Otomo, Satoru Kuhara

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publicationProceedings - IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2008
Pages417-420
Number of pages4
DOIs
Publication statusPublished - Dec 1 2008
Event2008 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2008 - Philadelphia, PA, United States
Duration: Nov 3 2008Nov 5 2008

Other

Other2008 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2008
CountryUnited States
CityPhiladelphia, PA
Period11/3/0811/5/08

All Science Journal Classification (ASJC) codes

  • Molecular Biology
  • Information Systems
  • Biomedical Engineering

Fingerprint Dive into the research topics of 'Evaluating protein sequence signatures inferred from protein-protein interaction data by gene ontology annotations'. Together they form a unique fingerprint.

  • Cite this

    Maruyama, O., Hirakawa, H., Iwayanagi, T., Ishida, Y., Takeda, S., Otomo, J., & Kuhara, S. (2008). Evaluating protein sequence signatures inferred from protein-protein interaction data by gene ontology annotations. In Proceedings - IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2008 (pp. 417-420). [4684931] https://doi.org/10.1109/BIBM.2008.29