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统计模型解析局部尺度上的蛋白质折叠/去折叠。

Statistical Model To Decipher Protein Folding/Unfolding at a Local Scale.

机构信息

Laboratoire Interdisciplinaire Carnot de Bourgogne , UMR 6303 CNRS-Univ. de Bourgogne Franche-Comté , 9 Av. A. Savary, BP 47 870 , F-21078 Dijon Cedex , France.

Baker Laboratory of Chemistry and Chemical Biology , Cornell University , Ithaca , New York 14853-1301 , United States.

出版信息

J Phys Chem B. 2018 Apr 5;122(13):3540-3549. doi: 10.1021/acs.jpcb.7b10733. Epub 2018 Feb 28.

Abstract

Protein folding/unfolding can be analyzed experimentally at a local scale by monitoring the physical properties of local probes as a function of the temperature, for example, the distance between fluorophores or the values of chemical shifts of backbone atoms. Here, the analytical Lifson-Roig model for the helix-coil transition is modified to analyze local thermal unfolding of the fast-folder W protein of bacteriophage lambda (gpW) simulated by all-atom molecular dynamics (MD) simulations in explicit solvent at 15 different temperatures. The protein structure is described by the coarse-grained dihedral angles (γ) and bond angles (θ) built between successive C-C virtual bonds. Each (γ,θ) pair serves as a local probe of protein unfolding. Local native/non-native states are defined for each pair of (γ,θ) angles by analyzing the free-energy landscapes Δ G(γ,θ) computed from MD trajectories. The three local elementary equilibrium constants of the model are extracted for each (γ,θ) pair along the sequence from MD simulations, and the model predictions are compared to the MD data. Using only the local equilibrium constants as an input, we show that the local denaturation curves computed from the model partition function fit their MD simulated counterparts in a satisfying manner without any adjustment. In the model and MD simulations, gpW unfolds gradually between 320 and 340 K, with an average native percentage decreasing from 0.8 (320 K) to 0.2 (340 K). In the prism of the model, there is no stable structure at the local scale in this 20 K unfolding temperature range. The enthalpy change upon local unfolding computed from the model and from MD trajectories suggests that the unfolded state between 320 and 340 K corresponds to a dynamical equilibrium between a large ensemble of constantly changing structures. The present results confirm the downhill unfolding of gpW, which does not obey a two-state global folding/unfolding model, and shed light on the interpretation of local denaturation curves.

摘要

蛋白质折叠/展开可以通过监测局部探针的物理性质来在局部尺度上进行实验分析,例如,荧光团之间的距离或骨架原子的化学位移值随温度的变化。在这里,对用于分析螺旋-卷曲转变的分析 Lifson-Roig 模型进行了修改,以分析通过在 15 种不同温度下在明溶剂中进行的全原子分子动力学 (MD) 模拟的噬菌体 lambda (gpW) 快速折叠蛋白的局部热展开。蛋白质结构由连续 C-C 虚拟键之间构建的粗粒度二面角 (γ) 和键角 (θ) 描述。每个 (γ,θ) 对都作为蛋白质展开的局部探针。通过分析从 MD 轨迹计算得出的自由能景观 Δ G(γ,θ),为每对 (γ,θ) 角定义局部天然/非天然状态。从 MD 模拟中沿序列为每对 (γ,θ) 提取模型的三个局部基本平衡常数,然后将模型预测与 MD 数据进行比较。仅使用局部平衡常数作为输入,我们表明,从模型配分函数计算出的局部变性曲线以令人满意的方式拟合其 MD 模拟对应物,而无需进行任何调整。在模型和 MD 模拟中,gpW 在 320 和 340 K 之间逐渐展开,平均天然百分比从 0.8 (320 K) 降低到 0.2 (340 K)。在模型的棱柱中,在这个 20 K 的展开温度范围内,在局部尺度上没有稳定的结构。从模型和 MD 轨迹计算得出的局部展开焓变表明,320 和 340 K 之间的展开状态对应于不断变化的结构的大集合之间的动态平衡。这些结果证实了 gpW 的下坡展开,它不遵循两态全局折叠/展开模型,并为局部变性曲线的解释提供了线索。

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