论文标题
纤维生物环境中的目标发现
Target finding in fibrous biological environments
论文作者
论文摘要
我们使用晶格模型来研究目标查找事件事件的第一分时间分布,这些环境具有带有不同各向异性和体积占用分数的伸长纤维的复杂环境。对于各向同性系统和对齐纤维的低密度,三维搜索是一个泊松过程,其第一分时间时间指数分布,最可能的发现时间为零。在足够高的对齐纤维的高密度下,伸长的通道出现,将动力学维度降低到一个维度。我们展示了通道的形状和大小如何修改第一邮编时间分布的行为及其短,中间和长时间的尺度。我们为合成矩形通道开发了一个准确的解决模型,该模型捕获了自然在系统中自然出现的细长通道的曲折局部结构的影响。对于纤维方向的列级参数的任意值,我们将在其他有效的体积占用分数下对完全排列的纤维的更简单情况进行了映射。我们的结果阐明了复杂纤维环境中生物细胞之间生物分子的分子转运。
We use a lattice model to study first-passage time distributions of target finding events through complex environments with elongated fibers distributed with different anisotropies and volume occupation fractions. For isotropic systems and for low densities of aligned fibers, the three-dimensional search is a Poisson process with the first-passage time exponentially distributed with the most probable finding time at zero. At high enough densities of aligned fibers, elongated channels emerge, reducing the dynamics dimensionality to one dimension. We show how the shape and size of the channels modify the behavior of the first-passage time distribution and its short, intermediate, and long time scales. We develop an exactly solvable model for synthetic rectangular channels, which captures the effects of the tortuous local structure of the elongated channels that naturally emerge in our system. For arbitrary values of the nematic order parameter of fiber orientations, we develop a mapping to the simpler situation of fully aligned fibers at some other effective volume occupation fraction. Our results shed light on the molecular transport of biomolecules between biological cells in complex fibrous environments.