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一些正在研究用于治疗新冠肺炎患者的抗病毒药物的拓扑指数和定量构效关系/定量结构活性关系分析

Topological indices and QSPR/QSAR analysis of some antiviral drugs being investigated for the treatment of COVID-19 patients.

作者信息

Kirmani Syed Ajaz K, Ali Parvez, Azam Faizul

机构信息

Department of Electrical Engineering, College of Engineering Qassim University Unaizah Saudi Arabia.

Department of Mechanical Engineering, College of Engineering Qassim University Unaizah Saudi Arabia.

出版信息

Int J Quantum Chem. 2021 May 5;121(9):e26594. doi: 10.1002/qua.26594. Epub 2020 Dec 31.

Abstract

The spread of novel virus SARS-CoV-2, well known as COVID-19 has become a major health issue currently which has turned up to a pandemic worldwide. The treatment recommendations are variable. Lack of appropriate medication has worsened the disease. On the basis of prior research, scientists are testing drugs based on medical therapies for SARS and MERS. Many drugs which include lopinavir, ritonavir and thalidomide are listed in the new recommendations. A topological index is a type of molecular descriptor that simply defines numerical values associated with the molecular structure of a compound that is effectively used in modeling many physicochemical properties in numerous quantitative structure-property/activity relationship (QSPR/QSAR) studies. In this study, several degree-based and neighborhood degree sum-based topological indices for several antiviral drugs were investigated by using a -polynomial and neighborhood -polynomial methods. In addition, a QSPR was established between the various topological indices and various physicochemical properties of these antiviral drugs along with remdesivir, chloroquine, hydroxychloroquine and theaflavin was performed in order to assess the efficacy of the calculated topological indices. The obtained results reveal that topological indices under study have strong correlation with the physicochemical characteristics of the potential antiviral drugs. A biological activity (pIC50) of these compounds were also investigated by using multiple linear regressions (MLR) analysis.

摘要

新型冠状病毒SARS-CoV-2(即众所周知的COVID-19)的传播已成为当前一个重大的健康问题,现已演变成一场全球大流行。治疗建议各不相同。缺乏合适的药物使病情恶化。基于先前的研究,科学家们正在测试基于治疗SARS和MERS的医学疗法的药物。许多药物,包括洛匹那韦、利托那韦和沙利度胺,都被列入了新的建议中。拓扑指数是一种分子描述符,它简单地定义了与化合物分子结构相关的数值,在众多定量结构-性质/活性关系(QSPR/QSAR)研究中有效地用于模拟许多物理化学性质。在本研究中,使用α-多项式和邻域α-多项式方法研究了几种抗病毒药物的几种基于度和基于邻域度和的拓扑指数。此外,建立了各种拓扑指数与这些抗病毒药物以及瑞德西韦、氯喹、羟氯喹和茶黄素的各种物理化学性质之间的QSPR,以评估计算出的拓扑指数的有效性。所得结果表明,所研究的拓扑指数与潜在抗病毒药物的物理化学特征具有很强的相关性。还使用多元线性回归(MLR)分析研究了这些化合物的生物活性(pIC50)。

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