Detour matrix-based adjacent path eccentric distance sum indices for QSAR/QSPR. Part I: development and evaluation.

Q4 Pharmacology, Toxicology and Pharmaceutics
Monika Singh, P V Bharatam, A K Madan
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引用次数: 1

Abstract

In the present study, three detour matrix-based topological indices (TIs) termed as adjacent path eccentric distance sum indices 1-3 (denoted by (A)ξ(1)(PDS), (A)ξ(2)(PDS) and (A)ξ(3)(PDS)) as well as their topochemical versions (denoted by (A)ξ(1c)(PDS), (A)ξ(2c)(PDS) and (A)ξ(3c)(PDS)) have been conceptualised. Values of the proposed TIs were computed for all possible cyclic and acyclic structures containing three, four, five vertices using an in-house computer programme. Proposed TIs were evaluated for discriminating power, degeneracy, intercorrelation and sensitivity towards branching as well relative position of substituent(s) in cyclic structures. Mathematical properties of one of the proposed TIs were also studied. Exceptionally high discriminating power, high sensitivity towards branching as well as relative position(s) of substituent(s) in cyclic structures and negligible degeneracy offer proposed indices a vast potential for use in characterisation of structures, similarity/dissimilarity studies, lead identification and optimisation, combinatorial library design and quantitative structure-activity/property/toxicity/pharmacokinetic relationship studies so as to facilitate drug design.

基于绕行矩阵的QSAR/QSPR相邻路径偏心距离和指标。第一部分:开发与评价。
在本研究中,被称为相邻路径偏心距离和指标1-3(表示为(A)ξ(1)(PDS), (A)ξ(2)(PDS)和(A)ξ(3)(PDS))的三个绕行矩阵拓扑指标(ti)以及它们的拓扑化学版本(表示为(A)ξ(1c)(PDS), (A)ξ(2c)(PDS)和(A)ξ(3c)(PDS))已经概念化。使用内部计算机程序计算了包含三个,四个,五个顶点的所有可能的循环和非循环结构的建议ti值。对所提出的ti进行了判别能力、简并度、相互关系和对分支的敏感性以及取代基在循环结构中的相对位置的评估。本文还研究了其中一种所提出的ti的数学性质。特别高的鉴别能力、对分支的高灵敏度以及取代基在环结构中的相对位置和可忽略的简并性为所提出的指数提供了巨大的潜力,可用于结构表征、相似性/差异性研究、先导物鉴定和优化、组合文库设计和定量结构-活性/性质/毒性/药代动力学关系研究,从而促进药物设计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
International Journal of Computational Biology and Drug Design
International Journal of Computational Biology and Drug Design Pharmacology, Toxicology and Pharmaceutics-Drug Discovery
CiteScore
1.00
自引率
0.00%
发文量
8
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