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Search of Protein Structural Blocks through Secondary Structure Triplets

机译:通过二级结构三胞胎搜索蛋白质结构块

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This paper presents an approach for protein motif retrieval founded on protein secondary structures (SSs) in 3D. This is a new way to analyze the protein 3D structure. In this approach, based on the Generalized Hough Transform (GHT), the primitives are the triangles defined by the midpoints of three SSs. The three distances between each SSs couple are used in searching and in the voting process. The barycenter of the motif is assigned as the Reference Point (RP). All motif triangles are compared with all possible triangles in the macromolecule. The lengths of triangle edges are used as selective parameters. For every correspondence a vote is given to the point which is figured out as motif barycenter with a special mapping rule and the point having most votes is determined as candidate RP. In this paper we made some experiments for retrieval of four and five-SSs motif from the macromolecule. Experimental results showed that the RP is determined with precision and this new approach to retrieve the motif is simple to implement, computationally efficient and fast.
机译:本文介绍了在3D中蛋白质二次结构(SSS)上的蛋白质基序检索方法。这是分析蛋白质3D结构的新方法。在这种方法中,基于广义霍夫变换(GHT),基元是由三个SSS中点定义的三角形。每个SSS耦合之间的三个距离用于搜索和投票过程中。图案的重心被分配为参考点(RP)。将所有图案三角形与大分子中的所有可能的三角形进行比较。三角形边缘的长度用作选择性参数。对于每次对应关系,将投票给出,作为具有特殊映射规则的主题重心的点,具有特殊映射规则,并且具有大多数投票的点被确定为候选RP。在本文中,我们对来自宏观分子的四个和五SSS主题检索进行了一些实验。实验结果表明,RP是用精度确定的,并且这种新方法检索图案易于实施,计算高效且快速。

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