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本文引用的文献

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Parameter Identifiability of Fundamental Pharmacodynamic Models.基本药效学模型的参数可识别性
Front Physiol. 2016 Dec 5;7:590. doi: 10.3389/fphys.2016.00590. eCollection 2016.
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Dynamical compensation in physiological circuits.生理回路中的动态补偿
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Structural Identifiability of Dynamic Systems Biology Models.动态系统生物学模型的结构可识别性
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Math Biosci. 2016 Dec;282:147-161. doi: 10.1016/j.mbs.2016.10.009. Epub 2016 Oct 24.
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Parameter estimation and model selection in computational biology.计算生物学中的参数估计和模型选择。
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动态补偿、参数可识别性和等变性。

Dynamic compensation, parameter identifiability, and equivariances.

作者信息

Sontag Eduardo D

机构信息

Department of Mathematics and Center for Quantitative Biology, Hill Center, Rutgers University, Piscataway, New Jersey, United States of America.

出版信息

PLoS Comput Biol. 2017 Apr 6;13(4):e1005447. doi: 10.1371/journal.pcbi.1005447. eCollection 2017 Apr.

DOI:10.1371/journal.pcbi.1005447
PMID:28384175
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5398758/
Abstract

A recent paper by Karin et al. introduced a mathematical notion called dynamical compensation (DC) of biological circuits. DC was shown to play an important role in glucose homeostasis as well as other key physiological regulatory mechanisms. Karin et al. went on to provide a sufficient condition to test whether a given system has the DC property. Here, we show how DC can be formulated in terms of a well-known concept in systems biology, statistics, and control theory-that of parameter structural non-identifiability. Viewing DC as a parameter identification problem enables one to take advantage of powerful theoretical and computational tools to test a system for DC. We obtain as a special case the sufficient criterion discussed by Karin et al. We also draw connections to system equivalence and to the fold-change detection property.

摘要

卡琳等人最近发表的一篇论文引入了一种名为生物电路动态补偿(DC)的数学概念。研究表明,DC在葡萄糖稳态以及其他关键生理调节机制中发挥着重要作用。卡琳等人进而提供了一个充分条件,以测试给定系统是否具有DC特性。在此,我们展示了如何根据系统生物学、统计学和控制理论中的一个著名概念——参数结构不可识别性来阐述DC。将DC视为一个参数识别问题,能够利用强大的理论和计算工具来测试系统是否具有DC特性。作为一个特殊情况,我们得到了卡琳等人讨论的充分准则。我们还建立了与系统等价性和倍数变化检测特性的联系。