Natural flavonoid derivatives as oral human epidermoid carcinoma cell inhibitors.

Q4 Pharmacology, Toxicology and Pharmaceutics
Shravan Kumar Gunda, Sofia Florence Kongaleti, Mahmood Shaik
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引用次数: 9

Abstract

Natural flavonoid derivatives against cancer for selective KB cell lines (oral human epidermoid carcinoma) are analysed to determine the relationship between biological activities and structural properties of these molecules. Molecular alignment was performed for 88 natural flavonoid derivatives; out of these 88 molecules, 69 molecules were taken into training set and rest of the 19 molecules were used in test set prediction. We describe our elucidation of their structure activity relation (SAR) using three-dimensional quantitative structure activity relationship (3D-QSAR) models. A predictive comparative molecular field analysis (CoMFA) model of q² = 0.888 and r² = 0.940 was obtained and a comparative molecular similarity indices analysis (CoMSIA) model q² = 0.778 and r² = 0.971 was used to describe the non-linearly combined affinity of each functional group in the inhibitors. The contour maps obtained from 3D-QSAR studies were evaluated for the activity trends of the molecules analysed.

天然类黄酮衍生物作为口服人表皮样癌细胞抑制剂。
分析了天然类黄酮衍生物对选择性人口腔表皮样癌KB细胞株的抗癌作用,以确定这些分子的生物学活性与结构特性之间的关系。对88个天然类黄酮衍生物进行了分子比对;在这88个分子中,有69个分子被用于训练集,其余的19个分子用于测试集预测。本文用三维定量结构活性关系(3D-QSAR)模型阐述了它们的结构活性关系(SAR)。建立了q²= 0.888和r²= 0.940的预测比较分子场分析(CoMFA)模型,并采用q²= 0.778和r²= 0.971的比较分子相似指数分析(CoMSIA)模型来描述抑制剂中各官能团的非线性联合亲和力。从3D-QSAR研究中获得的等高线图被评估为分析分子的活性趋势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
International Journal of Computational Biology and Drug Design
International Journal of Computational Biology and Drug Design Pharmacology, Toxicology and Pharmaceutics-Drug Discovery
CiteScore
1.00
自引率
0.00%
发文量
8
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