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一碳代谢中的细胞区室化建模。

Modeling cellular compartmentation in one-carbon metabolism.

机构信息

The Microsoft Research-University of Trento Centre for Computational and Systems Biology (COSBI), Rovereto, Italy.

出版信息

Wiley Interdiscip Rev Syst Biol Med. 2013 May-Jun;5(3):343-65. doi: 10.1002/wsbm.1209. Epub 2013 Feb 13.

Abstract

Folate-mediated one-carbon metabolism (FOCM) is associated with risk for numerous pathological states including birth defects, cancers, and chronic diseases. Although the enzymes that constitute the biological pathways have been well described and their interdependency through the shared use of folate cofactors appreciated, the biological mechanisms underlying disease etiologies remain elusive. The FOCM network is highly sensitive to nutritional status of several B-vitamins and numerous penetrant gene variants that alter network outputs, but current computational approaches do not fully capture the dynamics and stochastic noise of the system. Combining the stochastic approach with a rule-based representation will help model the intrinsic noise displayed by FOCM, address the limited flexibility of standard simulation methods for coarse-graining the FOCM-associated biochemical processes, and manage the combinatorial complexity emerging from reactions within FOCM that would otherwise be intractable.

摘要

叶酸代谢(FOCM)与许多病理状态的风险相关,包括出生缺陷、癌症和慢性疾病。尽管构成生物途径的酶已经得到了很好的描述,并且通过共同使用叶酸辅因子了解了它们的相互依存关系,但疾病病因的生物学机制仍然难以捉摸。FOCM 网络对几种 B 族维生素和许多改变网络输出的显性基因突变的营养状态非常敏感,但目前的计算方法并没有完全捕捉到系统的动态和随机噪声。将随机方法与基于规则的表示相结合,将有助于对 FOCM 显示的固有噪声进行建模,解决标准模拟方法在粗粒化与 FOCM 相关的生化过程时的有限灵活性,并处理否则难以处理的 FOCM 内反应产生的组合复杂性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c37/4437664/1d184dc6f22a/nihms689294f1.jpg

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