Discrete-state stochastic kinetic models for target DNA search by proteins: Theory and experimental applications

Iwahara Junji; Kolomeisky Anatoly B.

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Discrete-state stochastic kinetic models for target DNA search by proteins: Theory and experimental applications

机译：用于蛋白质的目标DNA搜索的离散状态随机动力学模型：理论与实验应用

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To perform their functions, transcription factors and DNA-repair/modifying enzymes randomly search DNA in order to locate their specific targets on DNA. Discrete-state stochastic kinetic models have been developed to explain how the efficiency of the search process is influenced by the molecular properties of proteins and DNA as well as by other factors such as molecular crowding. These theoretical models not only offer explanations on the relation of microscopic processes to macroscopic behavior of proteins, but also facilitate the analysis and interpretation of experimental data. In this review article, we provide an overview on discrete-state stochastic kinetic models and explain how these models can be applied to experimental investigations using stopped-flow, single-molecule, nuclear magnetic resonance (NMR), and other biophysical and biochemical methods.

机译：为了进行其功能，转录因子和DNA修复/修饰酶随机搜索DNA，以定位其在DNA上的特定靶标。已经开发了离散状态随机动力学模型，以解释搜索过程的效率是如何受蛋白质和DNA的分子特性的影响，以及分子挤出的其他因素。这些理论模型不仅能够对微观过程对蛋白质的宏观行为的关系提供解释，而且促进了实验数据的分析和解释。在本综述文章中，我们提供了离散状态随机动力学模型的概要，并解释了如何使用停止流动，单分子，核磁共振（NMR）和其他生物物理和生化方法来应用这些模型的实验研究。

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来源
《Biophysical Chemistry: An International Journal Devoted to the Physical Chemistry of Biological Phenomena》 |2021年第1期|共10页
作者
Iwahara Junji; Kolomeisky Anatoly B.;
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作者单位

Univ Texas Med Branch Sealy Ctr Struct Biol &

Mol Biophys Dept Biochem &

Mol Biol Galveston TX;

Rice Univ Dept Phys &

Astron Dept Chem &

Bimol Engn Dept Chem Houston TX 77005 USA;

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原文格式 PDF
正文语种 eng
中图分类生物化学;
关键词
Diffusion; Dynamics; Kinetics; Protein-DNA interactions; Target search;

机译：扩散;动态;动力学;蛋白质-DNA相互作用;目标搜索;

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Discrete-state stochastic kinetic models for target DNA search by proteins: Theory and experimental applications

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