Topological Indices of Antibiotic Drugs used in Pneumonia Treatment with their QSPR Analysis and M-polynomial

S. Nagarajan, G. Kayalvizhi
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Abstract

Chemical graph theory is the mathematical modeling of molecules. It is a branch of graph theory that studies all of the efects of connection in a chemical network. Pneumonia is an infection of one or both of the lungs caused by bacteria, viruses, or fungi. Antibiotic drugs such as Azithromycin, Amoxicillin, Ciprofloxacin, Erythromycin, Clarithromycin, Clindamycin, Levofloxacin, Sulfamethoxazole, Metronidazole, Moxifloxacin, Tetracycline, Cefotaxime are used to treat pneumonia. In this paper, various degree based topological indices of these drugs are calculated and different types of regression models predicting the physicochemical properties of these drugs in terms of proposed indices are obtained and analyzed. Furthermore, we calculate the M-polynomial of these drugs.
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肺炎治疗中使用的抗生素药物的拓扑指标及其 QSPR 分析和 M 多项式
化学图论是分子的数学模型。它是图论的一个分支,研究化学网络中所有连接的影响。肺炎是由细菌、病毒或真菌引起的一侧或双侧肺部感染。阿奇霉素、阿莫西林、环丙沙星、红霉素、克拉霉素、克林霉素、左氧氟沙星、磺胺甲噁唑、甲硝唑、莫西沙星、四环素、头孢噻肟等抗生素药物可用于治疗肺炎。本文计算了这些药物的各种基于度的拓扑指数,并获得和分析了根据拟议指数预测这些药物理化性质的不同类型的回归模型。此外,我们还计算了这些药物的 M 多项式。
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