Protein-Protein Interaction Detection Based on Substring Sensitivity Measure
| Main Authors: | Nazar Zaki, Safaai Deris, Hany Alashwal |
|---|---|
| Format: | Article |
| Bahasa: | eng |
| Terbitan: |
, 2007
|
| Subjects: | |
| Online Access: |
https://zenodo.org/record/1071210 |
Daftar Isi:
- Detecting protein-protein interactions is a central problem in computational biology and aberrant such interactions may have implicated in a number of neurological disorders. As a result, the prediction of protein-protein interactions has recently received considerable attention from biologist around the globe. Computational tools that are capable of effectively identifying protein-protein interactions are much needed. In this paper, we propose a method to detect protein-protein interaction based on substring similarity measure. Two protein sequences may interact by the mean of the similarities of the substrings they contain. When applied on the currently available protein-protein interaction data for the yeast Saccharomyces cerevisiae, the proposed method delivered reasonable improvement over the existing ones.