简单数学模型在理解基因调控动力学中的应用。

Q2 Medicine

In Silico Biology Pub Date : 2015-01-01 DOI:10.3233/ISB-140463

Michael C Mackey, Moisés Santillán, Marta Tyran-Kamińska, Eduardo S Zeron

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引用次数: 15

摘要

在这篇综述中，我们调查了从20世纪60年代开始的生物数学家为理解简单细菌操纵子的动态行为而进行的尝试。我们专注于最简单的情况，讨论可抑制和可诱导系统，然后转向与乳糖和色氨酸操纵子的生物学相关的具体例子。最后，我们简要讨论了翻译和/或转录爆发形式的外在噪声和所谓的内在噪声的作用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

The utility of simple mathematical models in understanding gene regulatory dynamics.

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The utility of simple mathematical models in understanding gene regulatory dynamics.

In this review, we survey work that has been carried out in the attempts of biomathematicians to understand the dynamic behaviour of simple bacterial operons starting with the initial work of the 1960's. We concentrate on the simplest of situations, discussing both repressible and inducible systems and then turning to concrete examples related to the biology of the lactose and tryptophan operons. We conclude with a brief discussion of the role of both extrinsic noise and so-called intrinsic noise in the form of translational and/or transcriptional bursting.

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来源期刊

In Silico Biology Computer Science-Computational Theory and Mathematics

CiteScore

2.20

自引率

0.00%

发文量

期刊介绍： The considerable "algorithmic complexity" of biological systems requires a huge amount of detailed information for their complete description. Although far from being complete, the overwhelming quantity of small pieces of information gathered for all kind of biological systems at the molecular and cellular level requires computational tools to be adequately stored and interpreted. Interpretation of data means to abstract them as much as allowed to provide a systematic, an integrative view of biology. Most of the presently available scientific journals focus either on accumulating more data from elaborate experimental approaches, or on presenting new algorithms for the interpretation of these data. Both approaches are meritorious.