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A comprehensive mechanistic model of iron metabolism in Saccharomyces cerevisiae.
Metallomics ( IF 2.9 ) Pub Date : 2019-09-18 , DOI: 10.1039/c9mt00199a
Paul A Lindahl 1
Affiliation  

The ironome of budding yeast (circa 2019) consists of approximately 139 proteins and 5 nonproteinaceous species. These proteins were grouped according to location in the cell, type of iron center(s), and cellular function. The resulting 27 groups were used, along with an additional 13 nonprotein components, to develop a mesoscale mechanistic model that describes the import, trafficking, metallation, and regulation of iron within growing yeast cells. The model was designed to be simultaneously mutually autocatalytic and mutually autoinhibitory – a property called autocatinhibitory that should be most realistic for simulating cellular biochemical processes. The model was assessed at the systems’ level. General conclusions are presented, including a new perspective on understanding regulatory mechanisms in cellular systems. Some unsettled issues are described. This model, once fully developed, has the potential to mimic the phenotype (at a coarse-grain level) of all iron-related genetic mutations in this simple and well-studied eukaryote.

中文翻译:

酿酒酵母中铁代谢的综合机理模型。

出芽酵母的蛋白质组(大约2019)由大约139种蛋白质和5种非蛋白质物种组成。这些蛋白质根据细胞中的位置,铁中心的类型和细胞功能进行分组。将所得的27个组与其他13个非蛋白质组分一起用于建立介观的力学模型,该模型描述了正在生长的酵母细胞中铁的进口,运输,金属化和调节。该模型被设计为能够同时相互自动催化和相互自动抑制-一种称为自动抑制的特性,对于模拟细胞生化过程而言,这应该是最现实的。该模型是在系统级别进行评估的。提出了一般性结论,包括对理解细胞系统调节机制的新观点。描述了一些未解决的问题。这个模型
更新日期:2019-09-18
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