Abstract:
:Inferring metabolic networks from metabolite concentration data is a central topic in systems biology. Mathematical techniques to extract information about the network from data have been proposed in the literature. This paper presents a critical assessment of the feasibility of reverse engineering of metabolic networks, illustrated with a selection of methods. Appropriate data are simulated to study the performance of four representative methods. An overview of sampling and measurement methods currently in use for generating time-resolved metabolomics data is given and contrasted with the needs of the discussed reverse engineering methods. The results of this assessment show that if full inference of a real-world metabolic network is the goal there is a large discrepancy between the requirements of reverse engineering of metabolic networks and contemporary measurement practice. Recommendations for improved time-resolved experimental designs are given.
journal_name
Mol Biosystjournal_title
Molecular bioSystemsauthors
Hendrickx DM,Hendriks MM,Eilers PH,Smilde AK,Hoefsloot HCdoi
10.1039/c0mb00083csubject
Has Abstractpub_date
2011-02-01 00:00:00pages
511-20issue
2eissn
1742-206Xissn
1742-2051journal_volume
7pub_type
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