Scoring protein-protein interactions using the width of gene ontology terms and the information content of common ancestors

Guangyu Cui, Kyungsook Han

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

1 Scopus citations

Abstract

Several methods have been proposed to measure the semantic similarity of proteins. In particular, the Gene Ontology (GO) is often used to estimate the semantic similarity of proteins annotated with GO terms since it provides the largest and reliable vocabulary of gene products and their characteristics. We developed a new measure for semantic similarity of proteins involved in protein-protein interactions using the width of GO terms and the information content of their common ancestors in the GO hierarchy. A comparative evaluation of our method with other GO-based similarity measures showed that our method outperformed the others in most GO domains.

Original languageEnglish
Title of host publicationEmerging Intelligent Computing Technology and Applications - 9th International Conference, ICIC 2013, Proceedings
PublisherSpringer Verlag
Pages31-36
Number of pages6
ISBN (Print)9783642396779
DOIs
StatePublished - 2013
Event9th International Conference on Intelligent Computing, ICIC 2013 - Nanning, China
Duration: 28 Jul 201331 Jul 2013

Publication series

NameCommunications in Computer and Information Science
Volume375
ISSN (Print)1865-0929

Conference

Conference9th International Conference on Intelligent Computing, ICIC 2013
Country/TerritoryChina
CityNanning
Period28/07/1331/07/13

Keywords

  • Protein-protein interactions
  • Semantic similarity
  • Width of GO terms

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