Input-output relations in biological systems: measurement, information and the Hill equation.
Input-output relations in biological systems: measurement, information and the Hill equation.
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DOI：
10.1186/1745-6150-8-31
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发表时间：
2013-12-05
期刊：
影响因子：
5.5
通讯作者：
Frank SA
中科院分区：
文献类型：
--
作者：
Frank SA
生物系统根据可变的输入产生输出。投入产出关系往往遵循一些规律。例如，许多化学过程遵循输入浓度和输出浓度之间的S形希尔方程关系。希尔方程模式与酶动力学的基本米氏理论相矛盾。我使用预期的Michaelis-Menten过程的酶动力学和广泛观察到的希尔方程模式的生物系统之间的差异，探索生物输入输出关系的一般属性。我从可以解释基本化学和生物模式之间差异的各种过程开始。然后，我扩大分析，考虑更广泛的方面，塑造生物输入输出关系。关键方面包括组件子系统的输入-输出处理以及这些组件如何联合收割机来确定系统的总体输入-输出关系。这种聚集结构常常在潜在的无序状态下强加强有力的规则性。聚合通过在信息流经系统组件时分散信息来强加秩序。信息的耗散可以通过对测量和精确度的分析来评估，从而解释为什么某些常见的比例模式在投入产出关系中如此频繁地出现。我将讨论聚合、度量和规模如何为理解模式和过程之间的关系提供一个框架。这些更广泛的结构方面所施加的规律性设定了生物学中变异的轮廓。因此，生物设计也将倾向于遵循这些轮廓。自然选择可能主要是在这些广泛的限制范围内调节系统特性。本文由尤金·库宁（Eugene Koonin）、乔治·吕贝克（Georg Luebeck）和谢尔盖·马斯洛夫（Sergei Maslov）审阅。
Biological systems produce outputs in response to variable inputs. Input-output relations tend to follow a few regular patterns. For example, many chemical processes follow the S-shaped Hill equation relation between input concentrations and output concentrations. That Hill equation pattern contradicts the fundamental Michaelis-Menten theory of enzyme kinetics. I use the discrepancy between the expected Michaelis-Menten process of enzyme kinetics and the widely observed Hill equation pattern of biological systems to explore the general properties of biological input-output relations. I start with the various processes that could explain the discrepancy between basic chemistry and biological pattern. I then expand the analysis to consider broader aspects that shape biological input-output relations. Key aspects include the input-output processing by component subsystems and how those components combine to determine the system’s overall input-output relations. That aggregate structure often imposes strong regularity on underlying disorder. Aggregation imposes order by dissipating information as it flows through the components of a system. The dissipation of information may be evaluated by the analysis of measurement and precision, explaining why certain common scaling patterns arise so frequently in input-output relations. I discuss how aggregation, measurement and scale provide a framework for understanding the relations between pattern and process. The regularity imposed by those broader structural aspects sets the contours of variation in biology. Thus, biological design will also tend to follow those contours. Natural selection may act primarily to modulate system properties within those broad constraints. This article was reviewed by Eugene Koonin, Georg Luebeck and Sergei Maslov.
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影响因子：
16
作者：
Cohen-Saidon, Cellina;Cohen, Ariel A.;Alon, Uri
通讯作者：
Alon, Uri
影响因子：
2
作者：
Andrews, SS;Bray, D
通讯作者：
Bray, D
DOI：
10.1007/bf02353789
发表时间：
1994-12-01
期刊：
JOURNAL OF PHARMACOKINETICS AND BIOPHARMACEUTICS
影响因子：
--
作者：
HOFFMAN, A;GOLDBERG, A
通讯作者：
GOLDBERG, A
影响因子：
56.9
作者：
ANDERSON, PW
通讯作者：
ANDERSON, PW
影响因子：
2.1
作者：
Frank SA
通讯作者：
Frank SA