Display Settings:

Format

Send to:

Choose Destination
See comment in PubMed Commons below
Biochem Biophys Res Commun. 2009 Dec 18;390(3):357-62. doi: 10.1016/j.bbrc.2009.09.130. Epub 2009 Oct 2.

Evaluation of different domain-based methods in protein interaction prediction.

Author information

  • 1Institute of Biotechnology, PO Box 56, University of Helsinki, 00014 Helsinki, Finland. xuanhung.ta@helsinki.fi

Abstract

Protein-protein interactions (PPIs) play an important role in many biological functions. PPIs typically involve binding between domains, the basic units of protein folding, evolution and function. Identifying domain-domain interactions (DDIs) would aid understanding PPI networks. Recently, many computational methods aimed to infer DDIs from databases of interacting proteins and subsequently used the inferred DDIs to predict new PPIs. We attempt to describe systematically current domain-based approaches including the association method, maximum likelihood estimation and parsimonious explanation method. The performance of these methods at inferring DDIs and predicting PPIs was evaluated comparatively. We observe that each method generates artefacts in certain situations and discuss biases in the available benchmark sets.

PMID:
19800868
[PubMed - indexed for MEDLINE]
PubMed Commons home

PubMed Commons

0 comments
How to join PubMed Commons

    Supplemental Content

    Icon for Elsevier Science
    Loading ...
    Write to the Help Desk