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Output details

11 - Computer Science and Informatics

University of Edinburgh

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Output 14 of 401 in the submission
Article title

A fragile metabolic network adapted for cooperation in the symbiotic bacterium Buchnera aphidicola

Type
D - Journal article
Title of journal
BMC Systems Biology
Article number
24
Volume number
3
Issue number
n/a
First page of article
-
ISSN of journal
1752-0509
Year of publication
2009
Number of additional authors
5
Additional information

<28> Originality: First systems-level analysis of a biologically-realistic model of a small-genome symbiotic bacterium Buchnera aphidicola (APS) incorporating cofactor constraints and export of essential amino acids.

Significance: Flux balance analysis is applied to explore the distribution of metabolite flux across the network, optimised to maximise biomass production. Single gene deletions are analysed by the linear minimisation of metabolic adjustment method. Sheds light on the evolution and function of APS and demonstrates that APS does not conform to the generality that metabolic networks are complex and robust.

Rigour: The model is available at the Bio-Models computational models repository as MODEL7434234848.

Interdisciplinary
Yes
Cross-referral requested
-
Research group
A - Centre for Intelligent Systems & their Applications
Citation count
36
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-