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 language | English |
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Title of host publication | Proceedings - IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2008 |
Pages | 417-420 |
Number of pages | 4 |
DOIs | |
Publication status | Published - Dec 1 2008 |
Event | 2008 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2008 - Philadelphia, PA, United States Duration: Nov 3 2008 → Nov 5 2008 |
Other
Other | 2008 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2008 |
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Country/Territory | United States |
City | Philadelphia, PA |
Period | 11/3/08 → 11/5/08 |
All Science Journal Classification (ASJC) codes
- Molecular Biology
- Information Systems
- Biomedical Engineering