Informatics Report Series


Report   

EDI-INF-RR-1178


Related Pages

Report (by Number) Index
Report (by Date) Index
Author Index
Institute Index

Home
Title:The Edinburgh human metabolic network reconstruction and its functional analysis
Authors: Hongwu Ma ; Anatoly Sorokin ; Alexander Mazein ; Alex Selkov ; Evgeni Selkov ; Oleg Demin ; Igor Goryanin
Date: 2007
Publication Title:Molecular Systems Biology
Publisher:Nature
Publication Type:Journal Article Publication Status:Published
Volume No:3
DOI:10.1038/msb4100177
Abstract:
A better understanding of human metabolism and its relationship with diseases is an important task in human systems biology studies. In this paper, we present a high-quality human metabolic network manually reconstructed by integrating genome annotation information from different databases and metabolic reaction information from literature. The network contains nearly 3000 metabolic reactions, which were reorganized into about 70 human-specific metabolic pathways according to their functional relationships. By analysis of the functional connectivity of the metabolites in the network, the bow-tie structure, which was found previously by structure analysis, is reconfirmed. Furthermore, the distribution of the disease related genes in the network suggests that the IN (substrates) subset of the bow-tie structure has more flexibility than other parts.
Links To Paper
Full text of a paper on journal homepage
Bibtex format
@Article{EDI-INF-RR-1178,
author = { Hongwu Ma and Anatoly Sorokin and Alexander Mazein and Alex Selkov and Evgeni Selkov and Oleg Demin and Igor Goryanin },
title = {The Edinburgh human metabolic network reconstruction and its functional analysis},
journal = {Molecular Systems Biology},
publisher = {Nature},
year = 2007,
volume = {3},
doi = {10.1038/msb4100177},
url = {http://www.nature.com/msb/journal/v3/n1/full/msb4100177.html},
}


Home : Publications : Report 

Please mail <reports@inf.ed.ac.uk> with any changes or corrections.
Unless explicitly stated otherwise, all material is copyright The University of Edinburgh