articleBMC BioinformaticsJun 15, 2006GOLD OA

A new measure for functional similarity of gene products based on Gene Ontology

Max Planck Institute for Informatics

PubMed
Indexed incrossrefdoajpubmed

Abstract

Background

Gene Ontology (GO) is a standard vocabulary of functional terms and allows for coherent annotation of gene products. These annotations provide a basis for new methods that compare gene products regarding their molecular function and biological role.

Results

We present a new method for comparing sets of GO terms and for assessing the functional similarity of gene products. The method relies on two semantic similarity measures; simRel and funSim. One measure (simRel) is applied in the comparison of the biological processes found in different groups of organisms. The other measure (funSim) is used to find functionally related gene products within the same or between different genomes. Results indicate that the method, in addition to being in good agreement with established sequence similarity approaches, also provides a means for the identification of functionally related proteins independent of evolutionary relationships. The method is also applied to estimating functional similarity between all proteins in Saccharomyces cerevisiae and to visualizing the molecular function space of yeast in a map of the functional space. A similar approach is used to visualize the functional relationships between protein families.

Citation impact

725
total citations
FWCI
10.09
Percentile
100%
References
48
Citations per year

Authors

4

Topics & keywords

Keywords
  • Semantic similarity
  • Computational biology
  • Functional genomics
  • Similarity (geometry)
  • Biology
  • Gene ontology
  • Gene
  • Function (biology)
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Funding