ArticleBiotechnology and bioengineering2019
Extension of the yeast metabolic model to include iron metabolism and its use to estimate global levels of iron-recruiting enzyme abundance from cofactor requirements.
Article in Biotechnology and bioengineering, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- A multi-omics systems toxicology framework reveals amino acid-mediated stress adaptation to deltamethrin exposure in a yeast model.Scientific reports · 2026Article
- A kinetic mathematical model of comprehensive iron metabolism in a respiring yeast cell: a basic-pathways approach to solving a large system dynamically.Biometals : an international journal on the role of metal ions in biology, biochemistry, and medicine · 2026Article
- Involvement of Bacterial and Fungal Extracellular Products in Transformation of Manganese-Bearing Minerals and Its Environmental Impact.International journal of molecular sciences · 2023Review
- Genome-scale modeling of yeast metabolism: retrospectives and perspectives.FEMS yeast research · 2022Review
- Yeast optimizes metal utilization based on metabolic network and enzyme kinetics.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Article
- Iron Regulatory Mechanisms inFrontiers in microbiology · 2020Review
- A comprehensive mechanistic model of iron metabolism in Saccharomyces cerevisiae.Metallomics : integrated biometal science · 2019Article
- Current status and applications of genome-scale metabolic models.Genome biology · 2019Review
- Extension of the yeast metabolic model to include iron metabolism and its use to estimate global levels of iron-recruiting enzyme abundance from cofactor requirements.Biotechnology and bioengineering · 2019Article
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2 authors.
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Abstract
Metabolic networks adapt to changes in their environment by modulating the activity of their enzymes and transporters; often by changing their abundance. Understanding such quantitative changes can shed light onto how metabolic adaptation works, or how it can fail and lead to a metabolically dysfunctional state. We propose a strategy to quantify metabolic protein requirements for cofactor-utilising enzymes and transporters through constraint-based modelling. The first eukaryotic genome-scale metabolic model to comprehensively represent iron metabolism was constructed, extending the most recent community model of the Saccharomyces cerevisiae metabolic network. Partial functional impairment of the genes involved in the maturation of iron-sulphur (Fe-S) proteins was investigated employing the model and the in silico analysis revealed extensive rewiring of the fluxes in response to this functional impairment, despite its marginal phenotypic effect. The optimal turnover rate of enzymes bearing ion cofactors can be determined via this novel approach; yeast metabolism, at steady state, was determined to employ a constant turnover of its iron-recruiting enzyme at a rate of 3.02 × 10
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