School of Chemical, Materials and Biomedical Engineering, University of Georgia, 597 D.W. Brooks Drive, Athens, GA 30602.
School of Chemical, Materials and Biomedical Engineering, University of Georgia, 597 D.W. Brooks Drive, Athens, GA 30602.
Comput Biol Chem. 2019 Dec;83:107148. doi: 10.1016/j.compbiolchem.2019.107148. Epub 2019 Nov 10.
The field of thrombosis and hemostasis is crucial for understanding and developing new therapies for pathologies such as deep vein thrombosis, diabetes related strokes, pulmonary embolisms, and hemorrhaging related diseases. In the last two decades, an exponential growth in studies related to fibrin clot formation using computational tools has been observed. Despite this growth, the complete mechanism behind thrombus formation and hemostasis has been long and rife with obstacles; however, significant progress has been made in the present century. The computational models and methods used in this context are diversified into different spatiotemporal scales, yet there is no single model which can predict both physiological and mechanical properties of fibrin clots. In this review, we list the major strategies employed by researchers in modeling fibrin clot formation using recent and existing computational techniques. This review organizes the computational strategies into continuum level, system level, discrete particle (DPD), and multi-scale methods. We also discuss strengths and weaknesses of various methods and future directions in which computational modeling of fibrin clots can advance.
血栓形成和止血领域对于理解和开发深静脉血栓形成、糖尿病相关中风、肺栓塞和出血相关疾病等病理学的新疗法至关重要。在过去的二十年中，使用计算工具研究纤维蛋白凝块形成的研究呈指数级增长。尽管有了这种增长，但血栓形成和止血的完整机制长期以来一直充满障碍；然而，本世纪已经取得了重大进展。该背景下使用的计算模型和方法分为不同的时空尺度，但没有一种模型可以预测纤维蛋白凝块的生理和机械特性。在这篇综述中，我们列出了研究人员使用最新和现有的计算技术模拟纤维蛋白凝块形成的主要策略。本综述将计算策略组织为连续统水平、系统水平、离散粒子（DPD）和多尺度方法。我们还讨论了各种方法的优缺点以及纤维蛋白凝块的计算建模可以改进的未来方向。
