Berezhkovskii Alexander M, Makarov Dmitrii E
Mathematical and Statistical Computing Laboratory, Office of Intramural Research, Center for Information Technology, National Institutes of Health, Bethesda, Maryland 20892, United States.
Department of Chemistry, University of Texas at Austin, Austin, Texas 78712, United States.
J Phys Chem Lett. 2020 Mar 5;11(5):1682-1688. doi: 10.1021/acs.jpclett.9b03705. Epub 2020 Feb 17.
Single-molecule observations of biomolecular dynamics and folding are commonly rationalized using the model of diffusive dynamics on a free-energy landscape, which is inferred via the Boltzmann inversion of the equilibrium distribution of the experimental observable. Can the same model be applied to high-resolution single-molecule trajectories of molecular machines that lack thermal equilibrium so that the Boltzmann inversion method is inapplicable? In this Letter, we discuss two approaches to reconstructing the underlying free-energy landscape in such nonequilibrium systems and explore the performance of this model in application to trajectories with complex underlying dynamics.
生物分子动力学和折叠的单分子观测通常使用自由能景观上的扩散动力学模型进行合理解释,该模型是通过实验可观测量的平衡分布的玻尔兹曼反演推断出来的。对于缺乏热平衡因而玻尔兹曼反演方法不适用的分子机器的高分辨率单分子轨迹,能否应用相同的模型?在本快报中,我们讨论了在这种非平衡系统中重建潜在自由能景观的两种方法,并探讨了该模型在应用于具有复杂潜在动力学的轨迹时的性能。