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Cited by 349

The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.

Exploring the diversity of complex metabolic networks

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Hatzimanikatis, V., Li, C., Ionita, J. A., Henry, C. S., Jankowski, M. D., Broadbelt, L. J.·2005·Bioinformatics

Abstract

MOTIVATION: Metabolism, the network of chemical reactions that make life possible, is one of the most complex processes in nature. We describe here the development of a computational approach for the identification of every possible biochemical reaction from a given set of enzyme reaction rules that allows the de novo synthesis of metabolic pathways composed of these reactions, and the evaluation of these novel pathways with respect to their thermodynamic properties. RESULTS: We applied this framework to the analysis of the aromatic amino acid pathways and discovered almost 75,000 novel biochemical routes from chorismate to phenylalanine, more than 350,000 from chorismate to tyrosine, but only 13 from chorismate to tryptophan. Thermodynamic analysis of these pathways suggests that the native pathways are thermodynamically more favorable than the alternative possible pathways. The pathways generated involve compounds that exist in biological databases, as well as compounds that exist in chemical databases and novel compounds, suggesting novel biochemical routes for these compounds and the existence of biochemical compounds that remain to be discovered or synthesized through enzyme and pathway engineering. AVAILABILITY: Framework will be available via web interface at http://systemsbiology.northwestern.edu/BNICE (site under construction). CONTACT: vassily@northwestern.edu or broadbelt@northwestern.edu SUPPLEMENTARY INFORMATION: http://systemsbiology.northwestern.edu/BNICE/publications.

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Metadata

Authors
Hatzimanikatis, V., Li, C., Ionita, J. A., Henry, C. S., Jankowski, M. D., & Broadbelt, L. J.
Venue
Bioinformatics
Published
2004-12-21
Volume
21
Issue
8
Pages
1603-1609
ISSN
  • 0266-7061 (ISSN-L)
  • 1367-4803
  • 1460-2059
OpenAlex
W2104619491
Cited by
349
References
29
FWCI
1.20
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Exploring the diversity of complex metabolic networks. https://app.cochat.ai/papers/10.1093/bioinformatics/bti213
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Hatzimanikatis, V., Li, C., Ionita, J. A., Henry, C. S., Jankowski, M. D., & Broadbelt, L. J. (2005). Exploring the diversity of complex metabolic networks. Bioinformatics. https://doi.org/10.1093/bioinformatics/bti213

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