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- W1513592816 abstract "Summary Industrial biotechnology involves the utilization of cell factories for the production of fuels and chemicals. Traditionally, the development of highly productive microbial strains has relied on random mutagenesis and screening. The development of predictive mathematical models provides a new paradigm for the rational design of cell factories. Instead of selecting among a set of strains resulting from random mutagenesis, mathematical models allow the researchers to predict in silico the outcomes of different genetic manipulations and engineer new strains by performing gene deletions or additions leading to a higher productivity of the desired chemicals. In this review we aim to summarize the main modelling approaches of biological processes and illustrate the particular applications that they have found in the field of industrial microbiology." @default.
- W1513592816 created "2016-06-24" @default.
- W1513592816 creator A5018141322 @default.
- W1513592816 creator A5026743647 @default.
- W1513592816 creator A5083238115 @default.
- W1513592816 date "2010-12-08" @default.
- W1513592816 modified "2023-10-16" @default.
- W1513592816 title "Mathematical models of cell factories: moving towards the core of industrial biotechnology" @default.
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- W1513592816 doi "https://doi.org/10.1111/j.1751-7915.2010.00233.x" @default.
- W1513592816 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/3819008" @default.
- W1513592816 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/21375719" @default.
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