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

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

Volume: 7 Issue: 3

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

Affiliation:

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

Abstract: 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.

Cite this article as:

Iqbal Mudassar, Hodgman T. Charlie and J. Stekel Dov, Computational Prediction of Domain-domain Interactions: Factor-graph Based Modelling and Inference, Current Chemical Biology 2013; 7 (3) . https://dx.doi.org/10.2174/221279680703140508102145