用粗粒度模型描述蛋白质二级结构。

Gerald R Kneller, Konrad Hinsen
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引用次数: 8

摘要

提出了一种仅使用C(α)原子位置描述和分析蛋白质二级结构的粗粒度几何模型。通过分段多项式插值构造了连接这些位置的空间曲线,并通过连接连续C(α)位置的Frenet框架的连续螺旋运动来描述蛋白质主链的折叠。利用SCOPe蛋白质结构数据库的ASTRAL子集,导出了二级结构元件螺杆参数的阈值,并证明后者可以在C(α)模型的基础上可靠地分配。为此,我们与广泛使用的DSSP (Define Secondary Structure of Proteins)算法进行了比较研究,结果表明RCSB Protein Data Bank中所有纯C(α)结构的集合所对应的参数分布与ASTRAL数据库相匹配。预计该方法将有助于低分辨率数据的结构精化技术的发展。
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Protein secondary-structure description with a coarse-grained model.

A coarse-grained geometrical model for protein secondary-structure description and analysis is presented which uses only the positions of the C(α) atoms. A space curve connecting these positions by piecewise polynomial interpolation is constructed and the folding of the protein backbone is described by a succession of screw motions linking the Frenet frames at consecutive C(α) positions. Using the ASTRAL subset of the SCOPe database of protein structures, thresholds are derived for the screw parameters of secondary-structure elements and demonstrate that the latter can be reliably assigned on the basis of a C(α) model. For this purpose, a comparative study with the widely used DSSP (Define Secondary Structure of Proteins) algorithm was performed and it was shown that the parameter distribution corresponding to the ensemble of all pure C(α) structures in the RCSB Protein Data Bank matches that of the ASTRAL database. It is expected that this approach will be useful in the development of structure-refinement techniques for low-resolution data.

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