多底物单转运体的动力学研究。

IF 2 4区 数学 Q2 BIOLOGY
Ana S. de Pereda, Jihyun Park, Lily S. Cheung
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引用次数: 0

摘要

转运蛋白在调节分子进出细胞的运动中起着关键作用。单转运蛋白是最简单的一类转运蛋白,它利用便利的扩散使分子沿着浓度梯度跨膜转移。这一过程可能受到细胞内和细胞外环境中存在的其他底物的影响,这些底物可以通过反加速增加分子的净运输速率,也可以通过竞争性抑制降低分子的净运输速率。在这项研究中,我们推导了数学模型来描述存在多种细胞外底物或抑制剂时单转运蛋白的净转运率。对这些模型的分析确定了两种底物存在时系统的四种可能状态,其中两种状态导致反加速,另外两种状态导致抑制。最后,我们发现控制向内开放态转运体比例的动力学常数之间的关系是这些行为的原因。我们的理论结果为理解单转运蛋白在多种底物和抑制剂存在下的动态响应提供了一个数学框架,这可能对从营养利用到代谢工程的各种过程产生影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A kinetic study of multi-substrate uniporters

A kinetic study of multi-substrate uniporters
Transporters play key roles in regulating the movement of molecules into and out of cells. Uniporters, the simplest class of transporters, use facilitated diffusion to translocate molecules across membranes down their concentration gradient. This process can be affected by the presence of additional substrates in the intra- and extracellular environment, which can either increase the net transport rate of a molecule via trans acceleration or decrease it via competitive inhibition. In this study, we derived mathematical models to describe the net transport rate of uniporters in the presence of multiple extracellular substrates or inhibitors. Analyses of these models identified four possible states for the system when two substrates are present, with two states leading to trans acceleration and the other two states resulting in inhibition. Finally, we found that the relation between kinetic constants that controls the fraction of transporters in the inward-facing open state is responsible for these behaviors. Our theoretical results provide a mathematical framework for understanding the dynamic response of uniporters in the presence of multiple substrates and inhibitors, which could have implications for various processes, from nutrient utilization to metabolic engineering.
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来源期刊
CiteScore
4.20
自引率
5.00%
发文量
218
审稿时长
51 days
期刊介绍: The Journal of Theoretical Biology is the leading forum for theoretical perspectives that give insight into biological processes. It covers a very wide range of topics and is of interest to biologists in many areas of research, including: • Brain and Neuroscience • Cancer Growth and Treatment • Cell Biology • Developmental Biology • Ecology • Evolution • Immunology, • Infectious and non-infectious Diseases, • Mathematical, Computational, Biophysical and Statistical Modeling • Microbiology, Molecular Biology, and Biochemistry • Networks and Complex Systems • Physiology • Pharmacodynamics • Animal Behavior and Game Theory Acceptable papers are those that bear significant importance on the biology per se being presented, and not on the mathematical analysis. Papers that include some data or experimental material bearing on theory will be considered, including those that contain comparative study, statistical data analysis, mathematical proof, computer simulations, experiments, field observations, or even philosophical arguments, which are all methods to support or reject theoretical ideas. However, there should be a concerted effort to make papers intelligible to biologists in the chosen field.
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