Suppr超能文献

基于线性回归模型的理化性质与抗肝炎处方药的定量构效关系(QSPR)分析

On quantitative structure-property relationship (QSPR) analysis of physicochemical properties and anti-hepatitis prescription drugs using a linear regression model.

作者信息

Mahboob Abid, Rasheed Muhammad Waheed, Dhiaa Aya Mohammed, Hanif Iqra, Amin Laiba

机构信息

Department of Mathematics, Division of Science and Technology, University of Education, Lahore, Pakistan.

Department of Pharmacy, Al-Noor University College, Nineveh, Iraq.

出版信息

Heliyon. 2024 Feb 12;10(4):e25908. doi: 10.1016/j.heliyon.2024.e25908. eCollection 2024 Feb 29.

Abstract

Numerous studies demonstrate a strong intrinsic relationship between the boiling and melting temperatures, among other chemical properties, of chemical compounds and pharmaceutical and their molecular structures. Using topological indices, researchers can learn more about the physical traits, chemical stability, and bioactivities of these chemical molecular structures. Topological indices on the chemical structure of chemical materials and drugs are investigated in order to make up for the absence of chemical experiments and provide a theoretical basis for the manufacture of medications and chemical materials. According to well-known degree-based topological indices, the chemical structures of drugs used to treat hepatitis (A, B, C, D, and E) are assessed in this study. The atoms are thought of as the vertices of a graph, and the borders that separate them are thought of as the edges. Using degree-based topological indices, a quantitative structure-property relationship (QSPR) investigation was conducted to predict the physical properties of 16 hepatitis medications. These topological indices link the chemical structure to specific physical characteristics, such as the surface tension of hepatitis medication molecules and molecular weight, enthalpy, boiling point, density, vapor pressure, and logP. Using their molecular structures, the study's drugs are represented as molecular graphs, and 14 topological indices are computed.

摘要

众多研究表明,化合物以及药物的沸点、熔点和其他化学性质与其分子结构之间存在着紧密的内在联系。通过拓扑指数,研究人员能够更多地了解这些化学分子结构的物理特性、化学稳定性和生物活性。对化学材料和药物的化学结构进行拓扑指数研究,以弥补化学实验的不足,并为药物和化学材料的制造提供理论依据。在本研究中,根据著名的基于度的拓扑指数,对用于治疗甲型、乙型、丙型、丁型和戊型肝炎的药物的化学结构进行了评估。原子被视为图的顶点,分隔它们的边界被视为边。利用基于度的拓扑指数,进行了定量结构-性质关系(QSPR)研究,以预测16种肝炎药物的物理性质。这些拓扑指数将化学结构与特定的物理特性联系起来,如肝炎药物分子的表面张力、分子量、焓、沸点、密度、蒸气压和logP。利用其分子结构,将该研究中的药物表示为分子图,并计算了14个拓扑指数。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de44/10877299/0b070f0b5338/gr001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验