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使用广义乘法 Zagreb 指数预测苯型烃的生成焓并对分子树进行排序。

Predicting enthalpy of formation of benzenoid hydrocarbons and ordering molecular trees using general multiplicative Zagreb indices.

作者信息

Noureen Sadia, Ali Akbar, Bhatti Akhlaq A, Alanazi Abdulaziz M, Shang Yilun

机构信息

Faculty of Science, University of Gujrat, Gujrat, Pakistan.

College of Science, University of Ha'il, Ha'il, Saudi Arabia.

出版信息

Heliyon. 2024 May 15;10(10):e30913. doi: 10.1016/j.heliyon.2024.e30913. eCollection 2024 May 30.

DOI:10.1016/j.heliyon.2024.e30913
PMID:39670244
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11637230/
Abstract

Many existing studies show that there exists a strong relationship between structures and characteristics of molecules. Topological indices are often used in modeling the properties of chemical compounds and biological activities in theoretical chemistry. Topological indices are numerical values associated with structures of molecules in such a way that they remain constant under graph isomorphism. Multiplicative Zagreb indices are among the famous topological indices that have been explored by numerous researchers in the last few years. The first objective of the present paper is to examine the importance of general multiplicative Zagreb indices for forecasting the enthalpy of formation of hydrocarbons using a data set of 25 benzenoid hydrocarbons. The second objective of this paper is to study molecular trees with a given order and with a given number of branching vertices or segments using general multiplicative (first and second) Zagreb indices. Sharp lower/upper bounds on these Zagreb indices for the aforementioned molecular trees are obtained and the graphs attaining these bounds are determined. Bounds on the classical multiplicative Zagreb and Narumi-Katayama indices are corollaries of the obtained results.

摘要

许多现有研究表明,分子的结构与特性之间存在着紧密的关系。在理论化学中,拓扑指数常用于对化合物的性质和生物活性进行建模。拓扑指数是与分子结构相关的数值,其特点是在图同构下保持不变。乘法 Zagreb 指数是过去几年众多研究人员所探索的著名拓扑指数之一。本文的首要目标是利用一个包含 25 种苯型烃的数据集,研究通用乘法 Zagreb 指数在预测烃类生成焓方面的重要性。本文的第二个目标是使用通用乘法(第一和第二)Zagreb 指数来研究具有给定阶数以及给定数量分支顶点或边段的分子树。得到了上述分子树的这些 Zagreb 指数的精确上下界,并确定了达到这些界的图。经典乘法 Zagreb 指数和 Narumi - Katayama 指数的界是所得结果的推论。

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本文引用的文献

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Connection-Based Zagreb Indices of Polycyclic Aromatic Hydrocarbons Structures.多环芳烃结构的基于连接性的 Zagreb 指数
Curr Org Synth. 2023 Aug 23. doi: 10.2174/1570179421666230823141758.
2
Novel molecular hybrid geometric-harmonic-Zagreb degree based descriptors and their efficacy in QSPR studies of polycyclic aromatic hydrocarbons.新型分子混合几何调和扎格布度数描述符及其在多环芳烃 QSPR 研究中的效能。
SAR QSAR Environ Res. 2023 Jul-Sep;34(7):569-589. doi: 10.1080/1062936X.2023.2239149. Epub 2023 Aug 4.
3
Expected value of first Zagreb connection index in random cyclooctatetraene chain, random polyphenyls chain, and random chain network.
随机环辛四烯链、随机聚苯链和随机链网络中第一 Zagreb 连接指数的期望值。
Front Chem. 2023 Jan 4;10:1067874. doi: 10.3389/fchem.2022.1067874. eCollection 2022.
4
Extremal problems on exponential vertex-degree-based topological indices.基于指数顶点度的拓扑指数的极值问题。
Math Biosci Eng. 2022 May 10;19(7):6985-6995. doi: 10.3934/mbe.2022329.
5
Extremal (n,m)-Graphs w.r.t General Multiplicative Zagreb Indices.关于广义乘法扎格指标的极值(n,m)-图。
Comb Chem High Throughput Screen. 2022;25(3):476-482. doi: 10.2174/1386207323999201103222640.
6
On neighborhood Zagreb index of product graphs.关于乘积图的邻域 Zagreb 指标
J Mol Struct. 2021 Jan 5;1223:129210. doi: 10.1016/j.molstruc.2020.129210. Epub 2020 Sep 6.
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Medicinal chemistry and bioinformatics--current trends in drugs discovery with networks topological indices.药物化学与生物信息学——基于网络拓扑指数的药物发现当前趋势
Curr Top Med Chem. 2007;7(10):1015-29. doi: 10.2174/156802607780906771.