Propagation Modeling and Analysis of Molecular Motors in Molecular Communication
Propagation Modeling and Analysis of Molecular Motors in Molecular Communication
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分子通讯中分子马达的传播建模与分析
DOI：
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发表时间：
2016
影响因子：
3.9
通讯作者：
I. Balasingham
中科院分区：
文献类型：
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作者：
Youssef Chahibi;I. Akyildiz;I. Balasingham
分子马达网络（MMN）是由分子马达构建的网络，其使得纳米机器能够在纳米和微米尺度上执行感测、计算和致动的协调任务。活细胞自然能够通过相同的机制在细胞内不同位置之间建立点对点通信。类似于铁路系统，细胞质包含一个复杂的轨道基础设施，称为微管，连接细胞的不同内部组件。马达蛋白，如驱动蛋白和动力蛋白，能够沿着这些轨道定向移动，携带大分子，否则这些大分子将不可靠地通过自由扩散穿过细胞质。分子通讯已被提出用于MMN的设计和研究。然而，MMN的拓扑方面，包括分支的影响，已被忽略在现有的研究。在本文中，MMN的物理端到端模型的开发，考虑到发射机节点的位置，网络拓扑结构，和接收机节点。端到端增益和群时延被认为是性能指标，并推导出它们的解析表达式。通过蒙特-卡罗仿真验证了解析模型的正确性，并对MMN的性能进行了数值分析。它示出，根据其性质和位置，MMN节点创建阻抗效应，是至关重要的整体性能。该模型可用于辅助人工MMN的设计，并研究神经细丝中的货物运输，以阐明与微管堵塞相关的脑疾病。
Molecular motor networks (MMNs) are networks constructed from molecular motors to enable nanomachines to perform coordinated tasks of sensing, computing, and actuation at the nano- and micro- scales. Living cells are naturally enabled with this same mechanism to establish point-to-point communication between different locations inside the cell. Similar to a railway system, the cytoplasm contains an intricate infrastructure of tracks, named microtubules, interconnecting different internal components of the cell. Motor proteins, such as kinesin and dynein, are able to travel along these tracks directionally, carrying with them large molecules that would otherwise be unreliably transported across the cytoplasm using free diffusion. Molecular communication has been previously proposed for the design and study of MMNs. However, the topological aspects of MMNs, including the effects of branches, have been ignored in the existing studies. In this paper, a physical end-to-end model for MMNs is developed, considering the location of the transmitter node, the network topology, and the receiver nodes. The end-to-end gain and group delay are considered as the performance measures, and analytical expressions for them are derived. The analytical model is validated by Monte-Carlo simulations and the performance of MMNs is analyzed numerically. It is shown that, depending on their nature and position, MMN nodes create impedance effects that are critical for the overall performance. This model could be applied to assist the design of artificial MMNs and to study cargo transport in neurofilaments to elucidate brain diseases related to microtubule jamming.