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用于定量构效关系/定量结构性质关系的基于迂回矩阵的相邻路径偏心距离和指数。第一部分:发展与评估。

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

作者信息

Singh Monika, Bharatam P V, Madan A K

机构信息

Faculty of Pharmaceutical Sciences, M.D. University, Rohtak 124-001, India.

Department of Medicinal Chemistry, National Institute of Pharmaceutical Education and Research, S.A.S. Nagar, Mohali 160-062, India.

出版信息

Int J Comput Biol Drug Des. 2014;7(4):295-318. doi: 10.1504/IJCBDD.2014.066540. Epub 2014 Dec 25.

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.

摘要

在本研究中,已概念化了三种基于迂回矩阵的拓扑指数(TIs),称为邻接路径偏心距离和指数1 - 3(由(A)ξ(1)(PDS)、(A)ξ(2)(PDS)和(A)ξ(3)(PDS)表示)及其拓扑化学版本(由(A)ξ(1c)(PDS)、(A)ξ(2c)(PDS)和(A)ξ(3c)(PDS)表示)。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环状和非环状结构的拟议拓扑指数值。对拟议的拓扑指数进行了区分能力、简并性、相互相关性以及对分支的敏感性以及环状结构中取代基的相对位置的评估。还研究了其中一个拟议拓扑指数的数学性质。极高的区分能力、对分支以及环状结构中取代基的相对位置的高敏感性和可忽略的简并性为拟议指数在结构表征、相似性/差异性研究、先导物识别与优化、组合库设计以及定量构效/构性/毒性/药代动力学关系研究中提供了巨大的应用潜力,从而促进药物设计。

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