Computational Prediction of Domain-domain Interactions: Factor-graph Based Modelling and Inference

ISSN: 1872-3136 (Online)
ISSN: 2212-7968 (Print)

Volume 9, 2 Issues, 2015

Download PDF Flyer

Current Chemical Biology

Aims & ScopeAbstracted/Indexed in

Submit Abstracts Online Submit Manuscripts Online

Fernando Albericio
School of Chemistry
Yachay Tech University
Yachay City of Knowledge, Urcuqui

View Full Editorial Board

Subscribe Purchase Articles Order Reprints

Computational Prediction of Domain-domain Interactions: Factor-graph Based Modelling and Inference

Current Chemical Biology, 7(3): 234-240.

Author(s): Mudassar Iqbal, T. Charlie Hodgman and Dov J Stekel.

Affiliation: Multidisciplinary Centre for Integrative Biology (MyCIB), School of Biosciences, University of Nottingham, Nottingham, UK.


Proteins interact with each other to perform an array of cellular functions. A systems-level knowledge of protein interaction networks, as well as the underlying domain-domain interactions, constitutes a major goal in systems biology. In this mini-review, we discuss some background to the problem of inference of domain-domain interactions and briefly discuss some relevant computational and statistical approaches. Specifically, we review our earlier work in which we formulate this problem using a graphical model combined with inference of domain-interaction probabilities using powerful statistical inference methods, namely belief propagation. The inferred interactions can be used for analysing network data, and, by looking at the specificity of protein-protein interactions, they can also be used to predict novel protein interactions within and across orthologous species.


Bioinformatics, computational biology, domain-domain interactions, graphical models, protein-protein interactions.

Purchase Online Order Reprints Order Eprints Rights and Permissions

Article Details

Volume: 7
Issue Number: 3
First Page: 234
Last Page: 240
Page Count: 7
DOI: 10.2174/221279680703140508102145

Related Journals

Webmaster Contact: Copyright © 2015 Bentham Science