Dudko Olga K, Mathé Jérôme, Szabo Attila, Meller Amit, Hummer Gerhard
Mathematical and Statistical Computing Laboratory, Division of Computational Bioscience, Center for Information Technology, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland, USA.
Biophys J. 2007 Jun 15;92(12):4188-95. doi: 10.1529/biophysj.106.102855. Epub 2007 Mar 23.
Single-molecule force experiments provide powerful new tools to explore biomolecular interactions. Here, we describe a systematic procedure for extracting kinetic information from force-spectroscopy experiments, and apply it to nanopore unzipping of individual DNA hairpins. Two types of measurements are considered: unzipping at constant voltage, and unzipping at constant voltage-ramp speeds. We perform a global maximum-likelihood analysis of the experimental data at low-to-intermediate ramp speeds. To validate the theoretical models, we compare their predictions with two independent sets of data, collected at high ramp speeds and at constant voltage, by using a quantitative relation between the two types of measurements. Microscopic approaches based on Kramers theory of diffusive barrier crossing allow us to estimate not only intrinsic rates and transition state locations, as in the widely used phenomenological approach based on Bell's formula, but also free energies of activation. The problem of extracting unique and accurate kinetic parameters of a molecular transition is discussed in light of the apparent success of the microscopic theories in reproducing the experimental data.
单分子力实验为探索生物分子相互作用提供了强大的新工具。在此,我们描述了一种从力谱实验中提取动力学信息的系统方法,并将其应用于单个DNA发夹的纳米孔解链。考虑了两种类型的测量:恒压解链和恒压斜坡速度解链。我们在低到中等斜坡速度下对实验数据进行全局最大似然分析。为了验证理论模型,我们通过使用两种测量类型之间的定量关系,将它们的预测与在高斜坡速度和恒压下收集的两组独立数据进行比较。基于克莱默斯扩散势垒穿越理论的微观方法不仅使我们能够像在基于贝尔公式的广泛使用的唯象方法中那样估计本征速率和过渡态位置,还能估计活化自由能。鉴于微观理论在重现实验数据方面的明显成功,讨论了提取分子转变的唯一且准确的动力学参数的问题。