Network-based prediction of protein function

Roded Sharan, Igor Ulitsky, Ron Shamir*

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

Abstract

Functional annotation of proteins is a fundamental problem in the post-genomic era. The recent availability of protein interaction networks for many model species has spurred on the development of computational methods for interpreting such data in order to elucidate protein function. In this review, we describe the current computational approaches for the task, including direct methods, which propagate functional information through the network, and module-assisted methods, which infer functional modules within the network and use those for the annotation task. Although a broad variety of interesting approaches has been developed, further progress in the field will depend on systematic evaluation of the methods and their dissemination in the biological community.

Original languageEnglish
Pages (from-to)1-13
Number of pages13
JournalMolecular Systems Biology
Volume3
DOIs
StatePublished - 2007

Keywords

  • Data integration
  • Function prediction
  • Protein interaction networks
  • Protein modules

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