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Kinetic, metabolic, and statistical analytics: addressing metabolic transport limitations among organelles and microbial communities

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CURRENT OPINION IN BIOTECHNOLOGY
卷 71, 期 -, 页码 91-97

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ELSEVIER SCI LTD
DOI: 10.1016/j.copbio.2021.06.024

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Microbial organisms engage in a variety of metabolic interactions, with transporters playing a crucial role in mediating the exchange of molecules between different organelles, cells, and the environment. Theoretical calculations about the inputs and outputs of cells via metabolic exchanges have enabled insights into intraorganismal and inter-organismal systems. Utilizing kinetic, metabolic, and statistical modeling approaches along with omics data enhances understanding of metabolic exchange and resource allocation.
Microbial organisms engage in a variety of metabolic interactions. A crucial part of these interactions is the exchange of molecules between different organelles, cells, and the environment. The main forces mediating this metabolic exchange are transporters. This transport can be difficult to measure experimentally because several transport mechanisms remain opaque. However, theoretical calculations about the inputs and outputs of cells via metabolic exchanges have enabled the successful inference of the workings of intraorganismal and inter-organismal systems. Kinetic, metabolic, and statistical modeling approaches in combination with omics data are enhancing our knowledge and understanding about metabolic exchange and mass resource allocation. This modeldriven analytics approach can guide effective experimental design and yield new insights into biological function and control.

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