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首页> 外文期刊>Medicinal Chemistry Research >Superaugmented eccentric connectivity indices: new-generation highly discriminating topological descriptors for QSAR/QSPR modeling
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Superaugmented eccentric connectivity indices: new-generation highly discriminating topological descriptors for QSAR/QSPR modeling

机译:增强型偏心连接指数:用于QSAR / QSPR建模的新一代高度区分拓扑描述符

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摘要

New-generation highly discriminating topological descriptors, termed superaugmented eccentric connectivity indices ( SA ξc), have been conceptualized in the present study. The values of SA ξc for all the possible structures of three, four, and five vertices were computed using an in-house computer program. The sensitivity to branching, discriminating power, and degeneracy of SA ξc were investigated for all the possible structures of three, four, and five vertices and subsequently compared with those of the eccentric and augmented eccentric connectivity indices. The proposed superaugmented eccentric connectivity indices exhibited high sensitivity towards branching, exceptionally high discriminating power, and extremely low degeneracy. The superaugmented eccentric connectivity index-3 ( SA ξc 3) exhibited an exceptionally high discriminating power of > 4000 for all possible structures containing only five vertices. The statistical significance of the proposed indices was investigated using intercorrelation analysis with Wiener’s index; Balaban’s J index (the average distance sum connectivity); the molecular connectivity index; the eccentric connectivity index; and the augmented eccentric connectivity index values. The high sensitivity to branching and exceptionally high discriminating power amalgamated with extremely low degeneracy give these indices vast potential for isomer discrimination, similarity/dissimilarity, drug design, quantitative structure–activity/structure–property relationships, lead optimization, and combinatorial library design.
机译:在本研究中,已概念化了新一代高度区分拓扑的描述符,称为超级增强的偏心连接指数(SA ξc)。使用内部计算机程序计算了三个,四个和五个顶点的所有可能结构的SA ξc的值。研究了三个,四个和五个顶点的所有可能结构对SA ξc的分支,判别力和简并度的敏感性,然后将其与偏心和增强的偏心连接性指标进行了比较。提出的超增强偏心连接指数显示出对分支的高灵敏度,异常高的识别能力和极低的简并性。对于仅包含五个顶点的所有可能结构,超增强的偏心连接指数3(SA ξc 3 )表现出极高的识别能力> 4000。拟议指标的统计意义使用与维纳指数的互相关分析进行了研究; Balaban的J指数(平均距离总和连通性);分子连通性指数;偏心连接指数;以及增加的偏心连接指数值。对分支的高敏感性和极低的简并性合并在一起的异常高的鉴别力使这些指数具有巨大的潜力,可用于异构体区分,相似/不相似,药物设计,定量结构-活性/结构-性质关系,前导优化和组合库设计。

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