计算透明质酸和共轭物的PI相关指数及其多项式

P. Kandan, S. Subramanian, P. Rajesh
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引用次数: 0

摘要

大量医学实验证实,药物的特性与其分子结构密切相关。药物性质可以通过研究相应药物的分子结构来获得。化学图拓扑指数的计算使科学家能够更好地了解药物的物理化学和生物学特性。本文重点研究了透明质酸-姜黄素/紫杉醇偶联物,该偶联物在抗癌药物的制备中有着广泛的应用。因此,本文利用边缘分割技术计算了透明质酸-姜黄素/紫杉醇偶联物的Padmakar-Ivan-相关指数及其多项式。
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Calculating PI Related Indices and Its Polynomial of Hyaluronic Acid and Conjugates
A large number of medical experiments have confirmed that the features of drugs have a close correlation with their molecular structure. Drug properties can be obtained by studying the molecular structure of corresponding drugs. The calculation of the topological index of a chemical graph enables scientists to have a better understanding of the physical chemistry and biological characteristics of drugs. In this paper, we focus on Hyaluronic Acid-Curcumin/Paclitaxel conjugate which are widely used in the manufacture of anticancer drugs. Therefore in this paper we have computed the Padmakar-Ivan related indices and its polynomial of the Hyaluronic Acid-curcumin/paclitaxel conjugate by using edge partitioning technique.
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CiteScore
0.70
自引率
33.30%
发文量
20
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