| Literature DB >> 29222761 |
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