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摘要翻译：
病毒性传染病，如HIV病毒的生长，引起了一个重要的健康问题。对细胞内病毒过程的研究可以为我们开发药物和了解药物剂量以减少HIV病毒在生长过程中的作用提供依据。对病毒细胞内反应动力学的主方程进行了蒙特卡罗模拟求解。平衡时间与模板初始种群的比例关系为低幂，其中N分别为模板物种初始种群数和平衡时间，分别为a=163.1和b=-0.1429。随机动力学结果表明，模板初始种群的增加缩短了平衡时间。在细胞内病毒动力学反应的动力学过程中，熵产生一直被考虑到低、中、高感染水平。分别计算了细胞内反应动力学、基因组、结构蛋白和模板三种物种的排列熵、多标度熵和修正多标度熵。我们的结果表明，在细胞内反应动力学过程中噪声的存在会改变上述三种物质的排列熵的顺序。此外，还计算了模型的多尺度熵，其大小顺序为：模板>结构蛋白>基因组。在细胞内病毒动力学中，排列熵结果对排列顺序的依赖性在高感染水平时变小。在细胞内反应动力学中，在短时间尺度下，排列熵在中等排列顺序值下发生收敛。在细胞内动力学的大时间尺度上，以排列序n为标度关系的排列熵标度。
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英文标题：
《Permutation, Multiscale and Modified Multiscale Entropies a Natural
Complexity for Low-High Infection Level Intracellular Viral Reaction Kinetics》
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作者：
Fariborz Taherkhani and Farid Taherkhani
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最新提交年份：
2017
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分类信息：
一级分类：Quantitative Biology 数量生物学
二级分类：Other Quantitative Biology 其他定量生物学
分类描述：Work in quantitative biology that does not fit into the other q-bio classifications
不适合其他q-bio分类的定量生物学工作
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英文摘要：
Viral infectious diseases, such as HIV virus growth, cause an important health concern. Study of intracellular viral processes can provide us to develop drug and understanding the drug dose to decrease the HIV virus in during growth. Kinetics Monte Carlo simulation has been done for solving Master equation about dynamics of intracellular viral reaction kinetics. Scaling relationship between equilibrium time and initial population of template has been found as power low, , where N , are the number of initial population of template species , equilibrium time, a = 163.1 , b = -0.1429 respectively. Stochastic dynamics shows that increasing initial population of template decreases the time of equilibrium. Entropy generation has been considered in low, intermediate and high infection level of intracellular viral kinetics reaction in during dynamical process. Permutation, multi scaling and modified multiscaling entropies have been calculated for three kinds of species in intracellular reaction dynamics, genome, structural protein, and template. Our result shows that presence of noise in dynamical process of intracellular reaction will change order of permutation entropy for the mentioned of three species. In addition to multiscaling entropy is computed for mentioned model and it has the following order: template > structural protein> genome. Dependency of permutation entropy result to permutation order becomes small in high infection level in intracellular viral kinetics dynamics. At short time scale in intracellular reaction dynamics, convergency of permutation entropy occurs with medium permutation order value. In the big time scale of intracellular dynamics, permutation entropy scale with permutation order n as a scaling relation .
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PDF链接：
https://arxiv.org/pdf/1607.06824
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