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- W2407169364 abstract "In this chapter, we describe the application of constraint-based modeling to predict the impact of gene deletions on a metabolic phenotype. The metabolic reactions taking place inside cells form large networks, which have been reconstructed at a genome-scale for several organisms at increasing levels of detail. By integrating mathematical modeling techniques with biochemical principles, constraint-based approaches enable predictions of metabolite fluxes and growth under specific environmental conditions or for genetically modified microorganisms. Similar to the experimental knockout of a gene, predicting the essentiality of a metabolic gene for a phenotype further allows to generate hypotheses on its biological function and design of genetic engineering strategies for biotechnological applications. Here, we summarize the principles of constraint-based approaches and provide a detailed description of the procedure to predict the essentiality of metabolic genes with respect to a specific metabolic function. We exemplify the approach by predicting the essentiality of reactions in the citric acid cycle for the production of glucose from fatty acids." @default.
- W2407169364 created "2016-06-24" @default.
- W2407169364 creator A5076124302 @default.
- W2407169364 date "2015-01-01" @default.
- W2407169364 modified "2023-10-15" @default.
- W2407169364 title "Computational Prediction of Essential Metabolic Genes Using Constraint-Based Approaches" @default.
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- W2407169364 doi "https://doi.org/10.1007/978-1-4939-2398-4_12" @default.
- W2407169364 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/25636620" @default.
- W2407169364 hasPublicationYear "2015" @default.
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