Literature DB >> 34293631

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

Cristal Zuniga1, Juan D Tibocha-Bonilla2, Michael J Betenbaugh3.   

Abstract

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 intra-organismal 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 model-driven analytics approach can guide effective experimental design and yield new insights into biological function and control.
Copyright © 2021. Published by Elsevier Ltd.

Year:  2021        PMID: 34293631     DOI: 10.1016/j.copbio.2021.06.024

Source DB:  PubMed          Journal:  Curr Opin Biotechnol        ISSN: 0958-1669            Impact factor:   9.740


  2 in total

Review 1.  Genome-scale modeling of yeast metabolism: retrospectives and perspectives.

Authors:  Yu Chen; Feiran Li; Jens Nielsen
Journal:  FEMS Yeast Res       Date:  2022-02-22       Impact factor: 2.796

Review 2.  Genome-Scale Metabolic Modeling Enables In-Depth Understanding of Big Data.

Authors:  Anurag Passi; Juan D Tibocha-Bonilla; Manish Kumar; Diego Tec-Campos; Karsten Zengler; Cristal Zuniga
Journal:  Metabolites       Date:  2021-12-24
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.