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Metabolic Pathway Analysis: Basic Concepts and Scientific Applications in the Post-genomic Era

Schilling, C.H., Schuster, S., Palsson, B.O., Heinrich, R.·1999·Biotechnology Progress

Abstract

This article reviews the relatively short history of metabolic pathway analysis. Computer-aided algorithms for the synthesis of metabolic pathways are discussed. Important algebraic concepts used in pathway analysis, such as null space and convex cone, are explained. It is demonstrated how these concepts can be translated into meaningful metabolic concepts. For example, it is shown that the simplest vectors spanning the region of all admissible fluxes in stationary states, for which the term elementary flux modes was coined, correspond to fundamental pathways in the system. The concepts are illustrated with the help of a reaction scheme representing the glyoxylate cycle and adjacent reactions of aspartate and glutamate synthesis. The interrelations between pathway analysis and metabolic control theory are outlined. Promising applications for genome annotation and for biotechnological purposes are discussed. Armed with a better understanding of the architecture of cellular metabolism and the enormous amount of genomic data available today, biochemists and biotechnologists will be able to draw the entire metabolic map of a cell and redesign it by rational and directed metabolic engineering.

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Metadata

Authors
Schilling, C. H., Schuster, S., Palsson, B. O., & Heinrich, R.
Venue
Biotechnology Progress
Publisher
Wiley
Published
1999-06-04
Volume
15
Issue
3
Pages
296-303
ISSN
  • 1520-6033 (ISSN-L)
  • 8756-7938
OpenAlex
W1994656497
Cited by
380
References
0
FWCI
5.11
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Metabolic Pathway Analysis: Basic Concepts and Scientific Applications in the Post-genomic Era. https://app.cochat.ai/papers/10.1021/bp990048k
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Schilling, C. H., Schuster, S., Palsson, B. O., & Heinrich, R. (1999). Metabolic Pathway Analysis: Basic Concepts and Scientific Applications in the Post-genomic Era. Biotechnology Progress. https://doi.org/10.1021/bp990048k

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.