弹性网络中的非线性松弛动力学与分子机器设计原理
Nonlinear Relaxation Dynamics in Elastic Networks and Design Principles of Molecular Machines
摘要：
分析弹性网络中的非线性构象弛豫动力学对应于两个经典的马达蛋白，我们发现，他们响应定义良好的内部机械运动的各种初始变形，这些运动是强大的外部扰动。我们表明，这种行为是不具有特征的随机弹性网络。然而，特殊的网络结构，具有这样的属性可以设计的进化优化方法。使用它们，人工弹性网络的一个例子，作为一个循环机供电的配体结合，构建。
英文摘要：
Analyzing nonlinear conformational relaxation dynamics in elastic networks corresponding to two classical motor proteins, we find that they respond by well-defined internal mechanical motions to various initial deformations and that these motions are robust against external perturbations. We show that this behavior is not characteristic for random elastic networks. However, special network architectures with such properties can be designed by evolutionary optimization methods. Using them, an example of an artificial elastic network, operating as a cyclic machine powered by ligand binding, is constructed.
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