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Computational Tools for Guided Discovery and Engineering of Metabolic Pathways

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Systems Metabolic Engineering

Part of the book series: Methods in Molecular Biology ((MIMB,volume 985))

Abstract

With a high demand for increasingly diverse chemicals, as well as sustainable synthesis for many existing chemicals, the chemical industry is increasingly looking to biosynthesis. The majority of biosynthesis examples of useful chemicals are either native metabolites made by an organism or the heterologous expression of known metabolic pathways into a more amenable host. For chemicals that no known biosynthetic route exists, engineers are increasingly relying on automated computational algorithms, as described here, to identify potential metabolic pathways. In this chapter, we review a broad range of approaches to predict novel metabolic pathways. Broadly, these can rely on biochemical databases to assemble known reactions into a new pathway or rely on generalized biochemical rules to predict unobserved enzymatic reactions that are likely feasible. Many programs are freely available and immediately useable by non-computationally experienced scientists.

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Authors and Affiliations

  1. Department of Chemical and Biological Engineering, Northwestern University, Evanston, IL, USA

    Matthew Moura, Linda Broadbelt & Keith Tyo

Authors
  1. Matthew Moura
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  2. Linda Broadbelt
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  3. Keith Tyo
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Corresponding author

Correspondence to Keith Tyo .

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Editors and Affiliations

  1. Cockrell School of Engineering, Dept. of Chemical Engineering, The University of Texas at Austin, E. Dean Keeton Street 200, Austin, 78712, Texas, USA

    Hal S. Alper

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Moura, M., Broadbelt, L., Tyo, K. (2013). Computational Tools for Guided Discovery and Engineering of Metabolic Pathways. In: Alper, H. (eds) Systems Metabolic Engineering. Methods in Molecular Biology, vol 985. Humana Press, Totowa, NJ. https://doi.org/10.1007/978-1-62703-299-5_8

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  • DOI: https://doi.org/10.1007/978-1-62703-299-5_8

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  • Publisher Name: Humana Press, Totowa, NJ

  • Print ISBN: 978-1-62703-298-8

  • Online ISBN: 978-1-62703-299-5

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