标题： 弹性网络中的非线性松弛动力学与分子机器的设计原理 显示英文标题

标题： Nonlinear Relaxation Dynamics in Elastic Networks and Design Principles of Molecular Machines

摘要： 分析对应于两种经典分子马达蛋白的弹性网络中的非线性构象松弛动力学时，我们发现它们会通过明确的内部机械运动来响应各种初始变形，并且这些运动对外部扰动具有鲁棒性。 我们表明这种行为并非随机弹性网络的特性。 然而，可以通过进化优化方法设计出具有此类特性的特殊网络结构。 利用这些网络结构，构建了一个作为配体结合驱动的循环机器运行的人工弹性网络示例。 显示英文摘要

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.