SubSS: A protein-protein interaction detection tool

Nazar Zaki*, Safaai Deris, Saleh Alwahaishi

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Many essential cellular processes are mediated by protein-protein interaction the reason why predicting protein-protein interaction has recently received considerable attention from biologist around the globe. In this paper, we present a computational tool for detecting protein-protein interaction based on substring similarity measure. Two proteins may interact by the mean of the similarities of the substrings they contain. This friendly and easy to use tool helps biologist to distinguish between high confidence interactions from low confidence or unknown interactions. The tool performance is tested on the currently available protein-protein interaction data for the yeast Saccharomyces cerevisiae, and it delivered considerable improvement over the existing techniques.

Original languageEnglish
Title of host publicationProceedings - 6th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2007; 1st IEEE/ACIS International Workshop on e-Activity, IWEA 2007
PublisherIEEE Computer Society
Pages999-1004
Number of pages6
ISBN (Print)0769528414, 9780769528410
DOIs
StatePublished - 2007
Externally publishedYes

Publication series

NameProceedings - 6th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2007; 1st IEEE/ACIS International Workshop on e-Activity, IWEA 2007

ASJC Scopus subject areas

  • General Computer Science
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'SubSS: A protein-protein interaction detection tool'. Together they form a unique fingerprint.

Cite this