用Zagreb Rho指数模拟苯的物理化学特性。

IF 1.6 4区 医学 Q4 BIOCHEMICAL RESEARCH METHODS
İdris Çiftçi
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引用次数: 0

摘要

定量结构-性质关系(QSPR)框架的探索利用拓扑指标来阐明分子实体的化学和物理属性。在目前的研究中,我们最初确定了与连接图相关的萨格勒布rho指数相结合的顶点的rho度,标志着(化学)图论领域的显着进展。我们证明了Zagreb rho指数与苯的物理化学性质(包括沸点、pi电子能、分子量、极化、分子体积和相对分子式质量)之间存在超过0.94的相关性。结果表明,Zagreb rho指数与建立的苯的基于度的拓扑指数之间的相关系数大于0.93。此外,我们对这些新指数进行了结构敏感性和突然性分析,并将它们与其他拓扑指数进行了比较。结果和分析提供了证据,萨格勒布指数是相关的QSPR研究举措。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modeling the Physico-Chemical Characteristics of Benzenes through the Application of Zagreb Rho Indices.

The exploration of Quantitative Structure-Property Relationship (QSPR) frameworks utilizes topological indices to clarify the chemical and physical attributes of molecular entities. In the current investigation, we initially identified the rho degree of a vertex in conjunction with the Zagreb rho indices associated with connected graphs, marking a notable progression within the field of (chemical) graph theory. We demonstrate that there are correlations exceeding 0.94 between the Zagreb rho indices and the physicochemical properties of benzenes, which encompass boiling point, pi-electron energy, molecular weight, polarization, molecular volume, and relative formula mass. Our results reveal that the correlation coefficients between the Zagreb rho indices and the established degree-based topological indices of benzenes exceed 0.93. Additionally, we performed structural sensitivity and abruptness analyses of these novel indices and compared them with alternative topological indices. The results and analyses provide evidence that Zagreb rho indices are pertinent to QSPR research initiatives.

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来源期刊
CiteScore
3.10
自引率
5.60%
发文量
327
审稿时长
7.5 months
期刊介绍: Combinatorial Chemistry & High Throughput Screening (CCHTS) publishes full length original research articles and reviews/mini-reviews dealing with various topics related to chemical biology (High Throughput Screening, Combinatorial Chemistry, Chemoinformatics, Laboratory Automation and Compound management) in advancing drug discovery research. Original research articles and reviews in the following areas are of special interest to the readers of this journal: Target identification and validation Assay design, development, miniaturization and comparison High throughput/high content/in silico screening and associated technologies Label-free detection technologies and applications Stem cell technologies Biomarkers ADMET/PK/PD methodologies and screening Probe discovery and development, hit to lead optimization Combinatorial chemistry (e.g. small molecules, peptide, nucleic acid or phage display libraries) Chemical library design and chemical diversity Chemo/bio-informatics, data mining Compound management Pharmacognosy Natural Products Research (Chemistry, Biology and Pharmacology of Natural Products) Natural Product Analytical Studies Bipharmaceutical studies of Natural products Drug repurposing Data management and statistical analysis Laboratory automation, robotics, microfluidics, signal detection technologies Current & Future Institutional Research Profile Technology transfer, legal and licensing issues Patents.
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