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Role of backbone solvation and electrostatics in generating preferred peptide backbone conformations: Distributions of phi

机译:骨架溶剂化和静电在生成优选的肽骨架构象中的作用:phi的分布

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摘要

The “coil library,” consisting of the φ, ψ values of residues outside secondary structure in high-resolution protein structures, has chiefly the β, αR, αL, and polyproline II backbone conformations. In denatured proteins, the 20 aa have different average values of the 3JHNα coupling constant, related to the backbone angle φ by the Karplus relation. Average 3JHNα values obtained from the distributions of φ, g(φ), of the coil library agree with NMR results, and so the coil library can be and is being used to model denatured proteins. Here, Monte Carlo simulations of backbone conformations in denatured proteins are used to test two physics-based models: the random coil model of Brant and Flory [(1965) J. Am. Chem. Soc. 87, 2788–2791 and 2791–2800] and an electrostatic screening model (ESM) that includes electrostatic solvation. The random coil model represents hindered rotation about φ and ψ backbone angles, nonbonded interactions, and dipole–dipole interactions. In the ESM, the nonbonded interactions term is replaced by the use of hard sphere repulsion and allowed regions in the Ramachadran maps. These models were tested by using the amino acid sequences of three small proteins. There are two main conclusions: (i) The g(φ) distributions of the coil library contain detailed, specific information, so that prediction of the g(φ) distributions of the different amino acids is a demanding test of the energy function. (ii) The ESM is partly successful in predicting the g(φ) distributions. Electrostatic solvation is primarily responsible, and steric clash between pairs of atoms connected by torsion angles is not responsible.
机译:“线圈文库”由高分辨率蛋白质结构中二级结构外部的残基的φ,ψ值组成,主要具有β,αR,αL和多脯氨酸II骨架构象。在变性蛋白质中,20 aaa具有不同的 3 JHNα耦合常数平均值,与Karplus关系与骨架角φ有关。从线圈文库的φ,g(φ)的分布获得的平均 3 JHNα值与NMR结果相符,因此线圈文库可以并且正在用于建模变性蛋白质。在这里,变性蛋白质中骨架构象的蒙特卡罗模拟用于测试两个基于物理学的模型:Brant和Flory的随机线圈模型[(1965)J. Am。化学Soc。 87,2788–2791和2791–2800]和包括静电溶剂化的静电筛选模型(ESM)。随机线圈模型表示绕φ和ψ主干角旋转受阻,无键相互作用以及偶极-偶极相互作用。在ESM中,使用硬球排斥和Ramachadran映射中的允许区域来代替非键相互作用项。通过使用三种小蛋白的氨基酸序列测试了这些模型。有两个主要结论:(i)线圈库的g(φ)分布包含详细的特定信息,因此预测不同氨基酸的g(φ)分布是对能量函数的严格测试。 (ii)ESM在预测g(φ)分布方面部分成功。静电溶剂化起主要作用,而通过扭转角连接的成对原子之间的空间碰撞不起作用。

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