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低感染复数下昆虫细胞感染动力学模型。

A model of the dynamics of insect cell infection at low multiplicity of infection.

作者信息

Enden Giora, Zhang You H, Merchuk José C

机构信息

Department of Biomedical Engineering, Ben-Gurion University of the Negev, P.O. Box 653, Beer Sheva 84105, Israel.

出版信息

J Theor Biol. 2005 Dec 7;237(3):257-64. doi: 10.1016/j.jtbi.2005.04.013. Epub 2005 Jun 24.

Abstract

In the present paper, we offer a preliminary mathematical model that describes the dynamic process of cell infection with baculovirus at low multiplicity of infection (MOI). The model accounts for the chain of events that follow the infection of insect cells, namely the eclipse period, the budding of viral particles from those cells, their attachment to non-infected cells and the initiation of a new infection cycle. These cycles appear as fluctuations in the viral concentration of actual cell culture media. The potential of the present approach in simulating the in vitro production of biological insecticides is demonstrated. The influence of the shape of the virus-budding function is shown, and parameter sensitivity analysis is carried out. The model provides a quantitative tool for the analysis of this complex dynamic system.

摘要

在本文中,我们提供了一个初步的数学模型,该模型描述了杆状病毒在低感染复数(MOI)下感染细胞的动态过程。该模型考虑了昆虫细胞感染后发生的一系列事件,即隐蔽期、病毒粒子从这些细胞中出芽、它们附着于未感染细胞以及新感染周期的开始。这些周期表现为实际细胞培养基中病毒浓度的波动。展示了本方法在模拟生物杀虫剂体外生产方面的潜力。显示了病毒出芽函数形状的影响,并进行了参数敏感性分析。该模型为分析这个复杂的动态系统提供了一个定量工具。

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