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- W2768356850 endingPage "82" @default.
- W2768356850 startingPage "63" @default.
- W2768356850 abstract "Engineering biological systems that are capable of overproducing products of interest is the ultimate goal of any biotechnology application. To this end, stoichiometric (or steady state) and kinetic models are increasingly becoming available for a variety of organisms including prokaryotes, eukaryotes, and microbial communities. This ever-accelerating pace of such model reconstructions has also spurred the development of optimization-based strain design techniques. This chapter highlights a number of such frameworks developed in recent years in order to generate testable hypotheses (in terms of genetic interventions), thus addressing the challenges in metabolic engineering. In particular, three major methods are covered in detail including two methods for designing strains (i.e., one stoichiometric model-based and the other by integrating kinetic information into a stoichiometric model) and one method for analyzing microbial communities." @default.
- W2768356850 created "2017-12-04" @default.
- W2768356850 creator A5066687190 @default.
- W2768356850 creator A5089064325 @default.
- W2768356850 date "2018-01-01" @default.
- W2768356850 modified "2023-09-30" @default.
- W2768356850 title "Computational Approaches on Stoichiometric and Kinetic Modeling for Efficient Strain Design" @default.
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- W2768356850 doi "https://doi.org/10.1007/978-1-4939-7295-1_5" @default.
- W2768356850 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/29170953" @default.
- W2768356850 hasPublicationYear "2018" @default.