Mathematical modeling of biochemical processes rates in biological systems.

Q4 Computer Science
Г. Губаль
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引用次数: 1

Abstract

Formulation of the scientific problem. The processes that take place in living cells consist of a large number of reactions catalyzed by various enzymes [1]-[3]. For mathematical modeling of these biochemical processes in biological systems, it is necessary to construct systems of a large number of nonlinear differential equations with the same large number of variables [4]-[6]. Even mathematical modeling of individual chains of biochemical processes that consist of a large number of enzymatic reactions is quite complex. Research analysis. To solve these problems, it is necessary to make simplifications taking into account some features of these reactions. In the chain of reactions that take place in a living cell, the slowest reaction is determining. The slowest reaction is determined by the lowest value of the velocities. In the chain of enzymatic reactions, the reaction with the lowest maximum rate will be decisive (see the example of a chain of two consecutive enzymatic reactions given below). When diffusing through several partitions, the determining link will be the partition with the lowest diffusion coefficient. By the reaction rate, we mean the maximum rate of that reaction. Presentation of the main material and the justification of the obtained research results. To find the determining link in the chain of biochemical reactions, it is necessary to find out how the rate of the whole process, i.e. the rate of production of the last link, depends on the rates of individual reactions. Obviously, when changing the maximum rates, any changes in the fast links will not affect the rate of the whole process. The rate of the whole process is affected only by the slowest link. When the rates of individual reactions in the chain of biochemical reactions differ by orders of magnitude, i.e. by 10; 100 or more times, all fast reactions have time to reach equilibrium during the slowest reaction. Since enzymatic reactions have the properties of low inversion and saturation, even when the rates of individual reactions differ little, the rate of the whole process depends only on the rate of the slowest link. Therefore, changes in other faster reactions have almost no effect on the overall rate. Let us prove this using the example of a chain of two consecutive enzymatic reactions:
生物系统中生化过程速率的数学建模。
科学问题的表述。在活细胞中发生的过程是由各种酶催化的大量反应组成的[1]-[3]。为了对生物系统中这些生化过程进行数学建模,需要构造具有相同大量变量的大量非线性微分方程系统[4]-[6]。即使是由大量酶促反应组成的生化过程的单个链的数学建模也是相当复杂的。研究分析。为了解决这些问题,考虑到这些反应的一些特征,有必要进行简化。在活细胞中发生的一系列反应中,最慢的反应是决定性的。最慢的反应是由速度的最低值决定的。在酶促反应链中,最大速率最低的反应将是决定性的(见下面给出的两个连续酶促反应链的例子)。当扩散通过多个分区时,决定环节将是扩散系数最低的分区。所谓反应速率,我们指的是反应的最大速率。主要材料的介绍和获得的研究结果的证明。要找出生物化学反应链中的决定环节,就必须弄清楚整个过程的速率,即最后一个环节的产生速率如何取决于个别反应的速率。显然,在改变最大速率时,快速链接的任何变化都不会影响整个过程的速率。整个进程的速率只受最慢链路的影响。当生化反应链中单个反应的速率相差数量级时,即相差10个数量级;100次以上,所有快速反应都有时间在最慢的反应中达到平衡。由于酶促反应具有低反转和低饱和的性质,即使个别反应的速率相差不大,整个过程的速率也只取决于最慢环节的速率。因此,其他快速反应的变化对总速率几乎没有影响。让我们用两个连续的酶促反应链的例子来证明这一点:
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来源期刊
Journal of Computing and Information Technology
Journal of Computing and Information Technology Computer Science-Computer Science (all)
CiteScore
0.60
自引率
0.00%
发文量
16
审稿时长
26 weeks
期刊介绍: CIT. Journal of Computing and Information Technology is an international peer-reviewed journal covering the area of computing and information technology, i.e. computer science, computer engineering, software engineering, information systems, and information technology. CIT endeavors to publish stimulating accounts of original scientific work, primarily including research papers on both theoretical and practical issues, as well as case studies describing the application and critical evaluation of theory. Surveys and state-of-the-art reports will be considered only exceptionally; proposals for such submissions should be sent to the Editorial Board for scrutiny. Specific areas of interest comprise, but are not restricted to, the following topics: theory of computing, design and analysis of algorithms, numerical and symbolic computing, scientific computing, artificial intelligence, image processing, pattern recognition, computer vision, embedded and real-time systems, operating systems, computer networking, Web technologies, distributed systems, human-computer interaction, technology enhanced learning, multimedia, database systems, data mining, machine learning, knowledge engineering, soft computing systems and network security, computational statistics, computational linguistics, and natural language processing. Special attention is paid to educational, social, legal and managerial aspects of computing and information technology. In this respect CIT fosters the exchange of ideas, experience and knowledge between regions with different technological and cultural background, and in particular developed and developing ones.
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