Department of Biomedical Engineering, University of Virginia, Charlottesville, Virginia.
School of Data Science, University of Virginia, Charlottesville, Virginia.
Protein Sci. 2019 Dec;28(12):2119-2126. doi: 10.1002/pro.3742. Epub 2019 Nov 6.
We suspect that there is a level of granularity of protein structure intermediate between the classical levels of "architecture" and "topology," as reflected in such phenomena as extensive three-dimensional structural similarity above the level of (super)folds. Here, we examine this notion of architectural identity despite topological variability, starting with a concept that we call the "Urfold." We believe that this model could offer a new conceptual approach for protein structural analysis and classification: indeed, the Urfold concept may help reconcile various phenomena that have been frequently recognized or debated for years, such as the precise meaning of "significant" structural overlap and the degree of continuity of fold space. More broadly, the role of structural similarity in sequence↔structure↔function evolution has been studied via many models over the years; by addressing a conceptual gap that we believe exists between the architecture and topology levels of structural classification schemes, the Urfold eventually may help synthesize these models into a generalized, consistent framework. Here, we begin by qualitatively introducing the concept.
我们怀疑,在经典的“结构”和“拓扑”层次之间,存在着蛋白质结构的粒度层次,这反映在超折叠水平以上的广泛三维结构相似性等现象中。在这里,我们研究了这种结构同一性的概念,尽管存在拓扑变异性,从我们称之为“原始折叠”的概念开始。我们相信,这个模型可以为蛋白质结构分析和分类提供一个新的概念方法:事实上,原始折叠的概念可能有助于调和多年来经常被认识或争论的各种现象,例如“显著”结构重叠的精确含义和折叠空间的连续性程度。更广泛地说,结构相似性在序列↔结构↔功能进化中的作用多年来一直通过许多模型进行研究;通过解决我们认为在结构分类方案的结构和拓扑层次之间存在的概念差距,原始折叠最终可能有助于将这些模型综合到一个广义的、一致的框架中。在这里,我们首先定性地介绍这个概念。