标题： 应用高斯网络理论模拟细胞骨架丝状物上的马达驱动运输 显示英文标题

标题： Applying a Gaussian networking theory to model motor-driven transport along cytoskeletal filaments

摘要： 本文建立在最近引入的动力学网络框架之上，并将其应用于建模沿着细胞骨架丝状网络的马达驱动运输。 在此方法中，网络功能描述了马达与可用丝状物位点的周期性结合和解离，同时考虑所有可能的配对，从而实现了对复杂网络中受限运动的场论处理。 在此应用中，动力学网络理论被引入到描述马达蛋白及其货物运动的Langevin动力学的Martin-Siggia-Rose表示中。 结果以网络上马达的集体描述形式呈现，针对两种不同的场景，即均匀和非均匀网络。 对于均匀网络，给出了一个扩散系数，而对于非均匀网络，展示了在网络密度上进行无序平均的各种可能性。 显示英文摘要

摘要： This paper builds on a recently introduced dynamical networking framework, applying it to model motor-driven transport along cytoskeletal filament networks. Within this approach, the networking functional describes the periodic binding and unbinding of motors to available filament sites,whilst accounting for all possible pairing, enabling a field-theoretic treatment of constrained motion in complex networks. In this application, the dynamical networking theory is introduced into a Martin-Siggia-Rose representation of the Langevin dynamics describing the motion of a motor protein and its cargo. Results are presented in a collective description of motors on a network, for two different scenarios, namely homogeneous and non-homogeneous networks. A diffusion coefficient is presented for homogeneous networks, whilst it is shown that various possibilities remain for disordered averaging over network densities for non-homogeneous networks.