Nonlinear relaxation dynamics in elastic networks and design principles of molecular machines.
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.
Togashi
Yuichi
Y
Abteilung Physikalische Chemie, Fritz-Haber-Institut der Max-Planck-Gesellschaft, Faradayweg 4-6, 14195 Berlin, Germany. togashi@phys1.med.osaka-u.ac.jp
Mikhailov
Alexander S
AS
D004548:Elasticity; D008958:Models, Molecular; D018995:Myosin Heavy Chains / Q000737:chemistry; D017711:Nonlinear Dynamics; D011487:Protein Conformation; D021122:Protein Subunits / Q000737:chemistry; D006180:Proton-Translocating ATPases / Q000737:chemistry
D021122:Protein Subunits; D006180:Proton-Translocating ATPases; D018995:Myosin Heavy Chains