SubSS: A protein-protein interaction detection tool

Nazar Zaki, Safaai Deris, Saleh Alwahaishi

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

1 Citation (Scopus)

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
Pages999-1004
Number of pages6
DOIs
Publication statusPublished - 2007
Event6th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2007; 1st IEEE/ACIS International Workshop on e-Activity, IWEA 2007 - Melbourne, VIC, Australia
Duration: Jul 11 2007Jul 13 2007

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

Other

Other6th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2007; 1st IEEE/ACIS International Workshop on e-Activity, IWEA 2007
Country/TerritoryAustralia
CityMelbourne, VIC
Period7/11/077/13/07

ASJC Scopus subject areas

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

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