Mannige Ranjan V, Kundu Joyjit, Whitelam Stephen
Molecular Foundry, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA, United States of America.
PLoS One. 2016 Aug 4;11(8):e0160023. doi: 10.1371/journal.pone.0160023. eCollection 2016.
Three-dimensional protein structures usually contain regions of local order, called secondary structure, such as α-helices and β-sheets. Secondary structure is characterized by the local rotational state of the protein backbone, quantified by two dihedral angles called ϕ and ψ. Particular types of secondary structure can generally be described by a single (diffuse) location on a two-dimensional plot drawn in the space of the angles ϕ and ψ, called a Ramachandran plot. By contrast, a recently-discovered nanomaterial made from peptoids, structural isomers of peptides, displays a secondary-structure motif corresponding to two regions on the Ramachandran plot [Mannige et al., Nature 526, 415 (2015)]. In order to describe such 'higher-order' secondary structure in a compact way we introduce here a means of describing regions on the Ramachandran plot in terms of a single Ramachandran number, [Formula: see text], which is a structurally meaningful combination of ϕ and ψ. We show that the potential applications of [Formula: see text] are numerous: it can be used to describe the geometric content of protein structures, and can be used to draw diagrams that reveal, at a glance, the frequency of occurrence of regular secondary structures and disordered regions in large protein datasets. We propose that [Formula: see text] might be used as an order parameter for protein geometry for a wide range of applications.
三维蛋白质结构通常包含局部有序区域,称为二级结构,如α螺旋和β折叠。二级结构的特征在于蛋白质主链的局部旋转状态,由两个二面角ϕ和ψ量化。特定类型的二级结构通常可以通过在ϕ和ψ角空间中绘制的二维图上的单个(弥散)位置来描述,该图称为拉氏图。相比之下,一种最近发现的由类肽(肽的结构异构体)制成的纳米材料,显示出与拉氏图上两个区域相对应的二级结构基序[曼尼格等人,《自然》526, 415 (2015)]。为了以紧凑的方式描述这种“高阶”二级结构,我们在此引入一种根据单个拉氏数[公式:见正文]来描述拉氏图上区域的方法,该数是ϕ和ψ的具有结构意义的组合。我们表明,[公式:见正文]的潜在应用众多:它可用于描述蛋白质结构的几何内容,还可用于绘制图表,一眼就能揭示大型蛋白质数据集中规则二级结构和无序区域的出现频率。我们提出,[公式:见正文]可能用作蛋白质几何形状的序参量,用于广泛的应用。