BIOPHYSICAL MECHANISMS FOR MODELS OF CYTOSKELETAL DYNAMICS

这个子项目是许多研究子项目中利用 资源由NIH/NCRR资助的中心拨款提供。子项目和 调查员(PI)可能从NIH的另一个来源获得了主要资金， 并因此可以在其他清晰的条目中表示。列出的机构是 该中心不一定是调查人员的机构。 这个项目专注于各种计算方法的原型，包括详细的随机和粗粒度连续的，来模拟细胞骨架动力学。详细的随机方法需要对生化事件(如纤维成核和聚合和解聚事件)和机械效应(如在机械力和随机波动存在下单体和纤维的运动)进行动力学蒙特卡罗模拟。一个连续的近似将用系综平均值表示，或者更详细地说，用空间和时间中的概率分布表示。

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. This project focuses on prototyping various computational approaches, both detailed stochastic and coarse-grain continuous, to modeling cytoskeletal dynamics. A detailed stochastic approach entails kinetic Monte Carlo simulations of both biochemical events, such as nucleation of filaments and polymerization and depolymerization events, and mechanical effects, such as movements of monomers and filaments in the presence of mechanical forces and stochastic fluctuations. A continuous approximation will be formulated in terms of ensemble averages or, in more detail, in terms of probability distributions in space and time.