白细胞迁移的混合计算模型。

Jiaxing Xue, Jean Gao, Liping Tang
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引用次数: 2

摘要

吞噬细胞迁移是一系列吞噬细胞反应的开始,被认为在植入医疗器械周围纤维化胶囊的形成中很重要。了解控制吞噬细胞迁移的分子机制是非常必要的,以提高植入装置的稳定性和功能。提出了一种结合控制理论和动力学蒙特卡罗(KMC)算法的混合计算模型,在分子水平上模拟和预测吞噬细胞的反应。为了模拟各种生物敲除实验,设计了一个通用的外部控制场景。KMC捕获了吞噬细胞迁移固有的随机性。导出了一个新的公式来计算作为KMC输入的转移率。这个公式可以用一般的方式量化生物相互作用,这超出了传统化学反应动力学的范围。
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A hybrid computational model for phagocyte transmigration.

Phagocyte transmigration is the initiation of a series of phagocyte responses that are believed important in the formation of fibrotic capsules surrounding implanted medical devices. Understanding the molecular mechanisms governing phagocyte transmigration is highly desired in order to improve the stability and functionality of the implanted devices. A hybrid computational model that combines control theory and kinetics Monte Carlo (KMC) algorithm is proposed to simulate and predict phagocytes responses at molecular level. In order to mimic various biological knockout experiments, a general external control scenario is designed. The stochastic nature inherent to phagocyte transmigration is captured by KMC. A new formula is derived to calculate the transition rates as inputs to KMC. This formulation might quantify biological interactions in a general manner which is beyond the scope of the traditional chemical reaction kinetics.

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