Imperial College London
Portrait Picture

ProfessorStephenMuggleton

Faculty of Engineering, Department of Computing

Royal Academy Chair in Machine Learning
 
 
 
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Contact

 

+44 (0)20 7594 8307s.muggleton Website

 
 
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Assistant

 

Mrs Bridget Gundry +44 (0)20 7594 1245

 
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Location

 

407Huxley BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Cootes:2007:10.1016/j.jmb.2007.03.013,
author = {Cootes, AP and Muggleton, SH and Sternberg, MJE},
doi = {10.1016/j.jmb.2007.03.013},
journal = {Molecular Biology},
pages = {1126--1139},
title = {The identification of similarities between biological networks: Application to the metabolome and interactome prediction},
url = {http://dx.doi.org/10.1016/j.jmb.2007.03.013},
volume = {369},
year = {2007}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - The increasing interest in systems biology has resulted in extensive experimental data describing networks of interactions (or associations) between molecules in metabolism, protein-protein interactions and gene regulation. Comparative analysis of these networks is central to understanding biological systems. We report a novel method (PHUNKEE Pairing subgrapHs Using NetworK Environment Equivalence) by which similar subgraphs in a pair of networks can be identified. Like other methods, PHUNKEE explicitly considers the graphical form of the data and allows for gaps. However, it is novel in that it includes information about the context of the subgraph within the adjacent network. We also explore a new approach to quantifying the statistical significance of matching subgraphs. We report similar subgraphs in metabolic pathways and in protein-protein interaction networks. The most similar metabolic subgraphs were generally found to occur in processes central to life, such as purine, pyrimidine and amino acid metabolism. The similar pairs of subgraphs found in the protein-protein interaction networks of Drosophila melanogaster and Saccharomyces cerevisiae also include central processes such as  cell division but, interestly, also include protein sub-networks involved in pre-mRNA processing. The inclusion of network context information in the comparison of protein interaction networks increased the number of similar subgraphs found consisting of proteins involved in the same functional process. This could have implications for the prediction of protein function.
AU  - Cootes,AP
AU  - Muggleton,SH
AU  - Sternberg,MJE
DO  - 10.1016/j.jmb.2007.03.013
EP  - 1139
PY  - 2007///
SP  - 1126
TI  - The identification of similarities between biological networks: Application to the metabolome and interactome prediction
T2  - Molecular Biology
UR  - http://dx.doi.org/10.1016/j.jmb.2007.03.013
UR  - http://www.doc.ic.ac.uk/~shm
VL  - 369
ER  -
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