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Bioinformatics Advance Access published online on September 25, 2006
Bioinformatics, doi:10.1093/bioinformatics/btl486
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© The Author (2006). Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org
Received June 29, 2006
Revised September 8, 2006
Accepted September 15, 2006

Article

Modelling interaction sites in protein domains with interaction profile hidden Markov models

Torben Friedrich 1, Birgit Pils 2, Thomas Dandekar 1, Jörg Schultz 1, and Tobias Müller 1 *

1 Bioinformatik, Biozentrum, Am Hubland, Universität Würzburg, 97074 Würzburg, Germany
2 Bioinformatik, Biozentrum, Am Hubland, Universität Würzburg, 97074 Würzburg, Germany; Present: Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, UK

* To whom correspondence should be addressed.
Tobias Müller, E-mail: tobias.mueller{at}biozentrum.uni-wuerzburg.de


  Abstract

Motivation: Due to the growing number of completely sequenced genomes, functional annotation of proteins becomes a more and more important issue. Here, we describe a method for the prediction of sites within protein domains, which are part of protein-ligand interactions. As recently demonstrated these sites are not trivial to detect because of a varying degree of conservation of their location and type within a domain family.

Results: The developed method for the prediction of protein-ligand interaction sites is based on a newly defined interaction profile hidden Markov model (ipHMM) topology that takes structural and sequence data into account. It is based on a homology search via a posterior decoding algorithm that yields probabilities for interacting sequence positions and inherits the efficiency and the power of the profile HMM methodology. The algorithm enhances the quality of interaction site predictions and is a suitable tool for large scale studies, which was already demonstrated for profile HMMs.

Availability: The MATLAB-files are available on request from the first author.

Supplementary information: http://domains.bioapps.biozentrum.uni-wuerzburg.de/.

Associate Editor: Golan Yona
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[Abstract] [Full Text] [PDF]


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