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arXiv 1306.5335physics.bio-phcond-mat.stat-mechq-bio.BM
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聚合物中的长程相关和折叠角及其在α-螺旋蛋白质中的应用

Long range correlations and folding angle in polymers with applications to α-helical proteins

Andrey Krokhotin, Stam Nicolis, Antti J. Niemi

摘要:

线性聚合物的构象复杂性远远超过点状原子和分子。聚合物可以弯曲,扭曲,甚至打结。因此,它们也可以显示比点粒子丰富得多的相结构。但是表征聚合物的相并不容易。本质上,唯一的属性是回转半径。当聚合度变得不同时它如何变化的方式,以及当环境温度和溶剂性质改变时它如何演变,揭示了聚合物的相。此外,在任何有限长度的链中,存在对标度的校正,这使得相结构的详细分析复杂化。在这里,我们引入了一个量,我们称之为折叠角,一种新的工具,以确定和审查相的聚合物。我们认为它的值和那些在回转半径的标度指数之间的平均场关系。但是,与回转半径的情况不同,折叠角的值可以从单个结构来评估。作为一个例子,我们在蛋白质数据库(PDB)中估计了晶体学α-螺旋蛋白质结构的折叠角值。我们还展示了如何使用α-螺旋手性均聚物的理论模型数值计算的值。

英文摘要:

The conformational complexity of linear polymers far exceeds that of point-like atoms and molecules. Polymers can bend, twist, even become knotted. Thus they may also display a much richer phase structure than point particles. But it is not very easy to characterize the phase of a polymer. Essentially, the only attribute is the radius of gyration. The way how it changes when the degree of polymerization becomes different, and how it evolves when the ambient temperature and solvent properties change, discloses the phase of the polymer. Moreover, in any finite length chain there are corrections to scaling, that complicate the detailed analysis of the phase structure. Here we introduce a quantity that we call the folding angle, a novel tool to identify and scrutinize the phases of polymers. We argue for a mean-field relationship between its values and those of the scaling exponent in the radius of gyration. But unlike in the case of the radius of gyration, the value of the folding angle can be evaluated from a single structure. As an example we estimate the value of the folding angle in the case of crystallographic α-helical protein structures in the Protein Data Bank (PDB). We also show how the value can be numerically computed using a theoretical model of α-helical chiral homopolymers.

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