Direct sampling of multiple single-molecular rupture dominant pathways involving a multistep transition

文献信息

发布日期 2014-09-22
DOI 10.1039/C4CP02970D
影响因子 3.676
作者

Huijun Jiang, Huai Ding, Zhonghuai Hou


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摘要

We report a novel single-molecular rupture mechanism revealed by direct sampling of the dominant pathway using a self-optimized path sampling method. Multiple dominant pathways involving multistep transitions are identified. The rupture may take place via a direct unfolding from the native state to the unfolding state, or through a two-step pathway bypassing a distinct intermediate metastable state (IMS). This scenario facilitates us to propose a three-state kinetic model, which can produce a nonlinear dependence of the rupture time on pulling forces similar to the ones reported in the literature. In particular, molecule conformations in the IMS maintain an elongation of the tail at one terminal, by which external pulling will enhance the relative stability of IMS. Consequently, even though the overall transition rate of the multistep pathway is relatively small, the molecule still has to be ruptured via the multistep pathway rather than the direct pathway. Thus, our work demonstrates an IMS trapping effect induced rupture mechanism involving an abnormal switching from a fast dominant pathway to a slow one.

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来源期刊

Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics
CiteScore: 5.5
自引率: 10.3%
年发文量: 3036

Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.

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