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Analysis of Interhelical Angle and Sequential Distancein Proteins

机译:蛋白质的螺旋间角和顺序距离分析

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This paper presents the results and discussion of statistical analysis of helix-helix interactions in proteins in terms of interhelical angle and sequential distance. The protein data includes 1290 high-resolution globular protein structures with less than 20 percent homology. We first define possible cases of interactions between helices and identify protein pairs that satisfy the conditions for each case. Two cases of helix-helix interactions are investigated using six parameters that can be obtained by considering the interactions as rigid-body motions. The computational results show that orientational preferences in helix packing are dominated by interactions between helices that are proximal in sequence. This bias is described with a univariate probability density function that depends only on the sequential distance between interacting helices. We also compute bivariate probability densities that depend on both interhelical orientation and sequential distance. The dominance of certain preferred orientations and sequential distance values in this bivariate distribution are also observed. Angle preferences persist even when the bivariate distribution is normalized by the univariate distribution. This statistical analysis provides quantitative probability distributions from which statistical potentials for secondary structure assembly can be derived.
机译:本文从螺旋间角和顺序距离的角度介绍了蛋白质中螺旋-螺旋相互作用的统计分析结果和讨论。蛋白质数据包括1290个高分辨率球状蛋白质结构,同源性低于20%。我们首先定义螺旋之间相互作用的可能情况,并确定满足每种情况条件的蛋白质对。使用六个参数研究了两种螺旋-螺旋相互作用的情况,这些参数可以通过将相互作用视为刚体运动来获得。计算结果表明,螺旋堆积中的取向偏好主要由顺序上最接近的螺旋之间的相互作用决定。用单变量概率密度函数描述此偏差,该函数仅取决于相互作用的螺旋之间的顺序距离。我们还计算了取决于螺旋间取向和顺序距离的双变量概率密度。还观察到在该双变量分布中某些优选取向和顺序距离值的优势。即使通过单变量分布对双变量分布进行了归一化,角度偏好仍然存在。这种统计分析提供了定量概率分布,可以从中得出用于二级结构组装的统计潜力。

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