Energy landscape analysis of native folding of the prion protein yields the diffusion constant, transition path time, and rates

被引:127
作者
Yu, Hao [1 ]
Gupta, Amar Nath [1 ]
Liu, Xia [1 ]
Neupane, Krishna [1 ]
Brigley, Angela M. [2 ]
Sosova, Iveta [2 ]
Woodside, Michael T. [1 ,2 ]
机构
[1] Univ Alberta, Dept Phys, Edmonton, AB T6G 2E1, Canada
[2] CNR, Natl Inst Nanotechnol, Edmonton, AB T6G 2M9, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
kinetics; optical trapping; single molecule; MOLECULE FORCE SPECTROSCOPY; SINGLE-MOLECULE; PULLING EXPERIMENTS; CONTACT FORMATION; NUCLEIC-ACID; DYNAMICS; RECONSTRUCTION; TRAJECTORIES; KINETICS; DOMAIN;
D O I
10.1073/pnas.1206190109
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Protein folding is described conceptually in terms of diffusion over a configurational free-energy landscape, typically reduced to a one-dimensional profile along a reaction coordinate. In principle, kinetic properties can be predicted directly from the landscape profile using Kramers theory for diffusive barrier crossing, including the folding rates and the transition time for crossing the barrier. Landscape theory has been widely applied to interpret the time scales for protein conformational dynamics, but protein folding rates and transition times have not been calculated directly from experimentally measured free-energy profiles. We characterized the energy landscape for native folding of the prion protein using force spectroscopy, measuring the change in extension of a single protein molecule at high resolution as it unfolded/refolded under tension. Key parameters describing the landscape profile were first recovered from the distributions of unfolding and refolding forces, allowing the diffusion constant for barrier crossing and the transition path time across the barrier to be calculated. The full landscape profile was then reconstructed from force-extension curves, revealing a double-well potential with an extended, partially unfolded transition state. The barrier height and position were consistent with the previous results. Finally, Kramers theory was used to predict the folding rates from the landscape profile, recovering the values observed experimentally both under tension and at zero force in ensemble experiments. These results demonstrate how advances in single-molecule theory and experiment are harnessing the power of landscape formalisms to describe quantitatively the mechanics of folding.
引用
收藏
页码:14452 / 14457
页数:6
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