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Multiscale modeling of platelet adhesion and thrombus growth

机译:血小板粘附和血栓生长的多尺度模拟

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摘要

Our hemostatic system, when called to action, depends on the complex arrangement of a tightly regulated and extensive network of molecules with versatile functionality. Experimental methods have demonstrated marked improvement through enhanced condition-control and monitoring. However, this approach continues to provide limited explanations of the role of individual elements or of a specific component within the entire system. To fill this void, multiscale simulations based on high throughput computing and comprehensive mathematical models are showing their strength in not only revealing hidden physiological mechanisms but also predicting pharmacological/phenotypical outcome in hemostasis reactions based on quantitative analysis. In this review article, we present up-to-date computational methods that simulate the process of platelet adhesion and thrombus growth, compare and summarize their advantages and drawbacks, verify their predictive power, and project their future directions. We provide an indepth summary of one such computational method - Platelet Adhesive Dynamics (PAD) - and discuss its application in simulating platelet aggregation and thrombus development.
机译:我们的止血系统一旦采取行动,就取决于具有多种功能的紧密调节的广泛分子网络的复杂排列。实验方法通过增强的状态控制和监视显示出明显的改进。但是,这种方法继续对整个系统中单个元素或特定组件的作用提供有限的解释。为了填补这一空白,基于高通量计算和全面数学模型的多尺度模拟不仅显示出隐蔽的生理机制,而且还基于定量分析预测止血反应的药理/表型结果,显示出其优势。在这篇综述文章中,我们介绍了最新的计算方法,这些方法可模拟血小板粘附和血栓生长的过程,比较和总结它们的优缺点,验证其预测能力,并规划其未来方向。我们提供了一种这样的计算方法的深入摘要-血小板粘附动力学(PAD)-并讨论了其在模拟血小板聚集和血栓形成中的应用。

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