Literature DB >> 29222761

Coupling Fluxes, Enzymes, and Regulation in Genome-Scale Metabolic Models.

Paul A Jensen1.   

Abstract

Genome-scale models have expanded beyond their metabolic origins. Multiple modeling frameworks are required to combine metabolism with enzymatic networks, transcription, translation, and regulation. Mathematical programming offers a powerful set of tools for tackling these "multi-modality" models, although special attention must be paid to the connections between modeling types. This chapter reviews common methods for combining metabolic and discrete logical models into a single mathematical programming framework. Best practices, caveats, and recommendations are presented for the most commonly used software packages. Methods for troubleshooting large sets of logical rules are also discussed.

Keywords:  Boolean networks; Constraint-based modeling; Flux balance analysis; MILP; Metabolic modeling; Mixed-integer programming; Transcriptional regulation

Mesh:

Year:  2018        PMID: 29222761     DOI: 10.1007/978-1-4939-7528-0_15

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  1 in total

1.  Enhancing Microbiome Research through Genome-Scale Metabolic Modeling.

Authors:  Nana Y D Ankrah; David B Bernstein; Matthew Biggs; Maureen Carey; Melinda Engevik; Beatriz García-Jiménez; Meiyappan Lakshmanan; Alan R Pacheco; Snorre Sulheim; Gregory L Medlock
Journal:  mSystems       Date:  2021-12-14       Impact factor: 6.496

  1 in total

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