Lee Sangyoon, Chirikjian Gregory S
Department of Mechanical Engineering, Johns Hopkins University, Baltimore, Maryland 21218, USA.
Biophys J. 2004 Feb;86(2):1105-17. doi: 10.1016/S0006-3495(04)74185-5.
Orientational preferences between interacting helices within globular proteins have been studied extensively over the years. A number of classical structural models such as "knobs into holes" and "ridges into grooves" were developed decades ago to explain perceived preferences in interhelical angle distributions. In contrast, relatively recent works have examined statistical biases in angular distributions which result from spherical geometric effects. Those works have concluded that the predictions of classical models are due in large part to these biases. In this article we perform an analysis on the largest set of helix-helix interactions within high-resolution structures of nonhomologous proteins studied to date. We examine the interhelical angle distribution as a function of spatial distance between helix pairs. We show that previous efforts to normalize angle distribution data did not include two important effects: 1), helices can interact with each other in three distinct ways which we refer to as "line-on-line," "endpoint-to-line," and "endpoint-to-endpoint," and each of these interactions has its own geometric effects which must be included in the proper normalization of data; and 2), all normalizations that depend on geometric parameters such as interhelical angle must occur before the data is binned to avoid artifacts of bin size from biasing the conclusions. Taking these two points into account, we find that there are very pronounced preferences for helices to interact at angles of approximately +/-160 and +/-20 degrees in the line-on-line case. This pattern persists when the closest alpha-carbons in the helices vary from 4 to 12 A. The endpoint-to-line and endpoint-to-endpoint cases also exhibit distinct preferences when the data is normalized properly. Analysis of the local structural interactions which give rise to these preferences has not been studied here and is left for future work.
多年来,人们对球状蛋白质中相互作用螺旋之间的取向偏好进行了广泛研究。几十年前就开发了一些经典结构模型,如“旋钮对孔”和“脊对槽”,以解释螺旋间角度分布中观察到的偏好。相比之下,最近的研究考察了由球形几何效应导致的角度分布中的统计偏差。这些研究得出结论,经典模型的预测在很大程度上归因于这些偏差。在本文中,我们对迄今为止研究的非同源蛋白质高分辨率结构中最大的一组螺旋-螺旋相互作用进行了分析。我们研究了螺旋间角度分布作为螺旋对之间空间距离的函数。我们表明,先前对角度分布数据进行归一化的努力没有考虑到两个重要影响:1),螺旋可以通过三种不同方式相互作用,我们称之为“线对线”、“端点对线”和“端点对端点”,并且每种相互作用都有其自身的几何效应,在数据的适当归一化中必须予以考虑;2),所有依赖于几何参数(如螺旋间角度)的归一化都必须在数据分箱之前进行,以避免箱大小的人为因素对结论产生偏差。考虑到这两点,我们发现在“线对线”情况下,螺旋非常明显地倾向于以大约+/-160度和+/-20度的角度相互作用。当螺旋中最接近的α-碳原子间距在4到12埃之间变化时,这种模式仍然存在。当数据进行适当归一化时,“端点对线”和“端点对端点”情况也表现出明显的偏好。本文未研究导致这些偏好的局部结构相互作用,留待未来工作。