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• W4290805678 abstract "Our understanding of microbial metabolism relies mostly on the knowledge we have obtained from a limited number of model organisms, and the diversity of metabolism beyond the handful of model species thus remains largely unexplored in mechanistic terms. Computational modeling of metabolic networks offers an attractive platform to bridge the knowledge gap and gain new insights into physiology of lesser-studied organisms." @default.
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• W4290805678 date "2022-08-30" @default.
• W4290805678 modified "2023-10-18" @default.
• W4290805678 title "A Computational Toolbox to Investigate the Metabolic Potential and Resource Allocation in Fission Yeast" @default.
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• W4290805678 doi "https://doi.org/10.1128/msystems.00423-22" @default.
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