Togashi Yuichi, Mikhailov Alexander S
Abteilung Physikalische Chemie, Fritz-Haber-Institut der Max-Planck-Gesellschaft, Faradayweg 4-6, 14195 Berlin, Germany.
Proc Natl Acad Sci U S A. 2007 May 22;104(21):8697-702. doi: 10.1073/pnas.0702950104. Epub 2007 May 16.
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.
通过分析与两种经典运动蛋白相对应的弹性网络中的非线性构象弛豫动力学，我们发现它们通过明确的内部机械运动对各种初始变形做出响应，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所特有。然而，可以通过进化优化方法设计具有此类特性的特殊网络架构。利用这些方法，构建了一个人工弹性网络的示例，它作为由配体结合驱动的循环机器运行。
