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- W3137629078 abstract "Microbial communities affect many facets of human health and well-being. Naturally occurring bacteria, whether in nature or the human body, rarely exist in isolation. A deeper understanding of the metabolic functions of these communities is now possible with emerging computational models. In this review, we summarize frameworks for constructing mechanistic models of microbial community metabolism and discuss available algorithms for model analysis. We highlight essential decision points that greatly influence algorithm selection, as well as model analysis. Polymicrobial metabolic models can be utilized to gain insights into host-pathogen interactions, bacterial engineering, and many more translational applications." @default.
- W3137629078 created "2021-03-29" @default.
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- W3137629078 date "2021-01-01" @default.
- W3137629078 modified "2023-10-16" @default.
- W3137629078 title "Mechanistic models of microbial community metabolism" @default.
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- W3137629078 doi "https://doi.org/10.1039/d0mo00154f" @default.
- W3137629078 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/8202304" @default.
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