首页> 外文期刊>Indian drugs >DEVELOPMENT OF A ROBUST QSAR MODEL OF ANGIOTENSIN RECEPTOR REVEALS А К NEAREST NEIGHBOR APPLICABLE TO DIVERSE SCAFFOLDS
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DEVELOPMENT OF A ROBUST QSAR MODEL OF ANGIOTENSIN RECEPTOR REVEALS А К NEAREST NEIGHBOR APPLICABLE TO DIVERSE SCAFFOLDS

机译:开发血管紧张素受体的强大QSAR模型,揭示了适用于多样的脚手架的к最近邻居

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Quantitative structure-activity relationship (QSAR) studies were performed on quinazolinone analogues for prediction of antihypertensive activity. The best significant 2D-QSAR model having r2 = 0.8118 and pred_r~2 = 0.7428 was developed by stepwise-partial least square method. K-Nearest neighbor molecular field analysis was used to construct the best 3D-QSAR model, showing good correlative and predictive capabilities in terms of q~2 = 0.7388 and pred_r~2 = 0.6983. Results reveal that the 2D-QSAR studies signify positive contribution of SssQE index and SsCH_3 count towards the biological activity. The results have showed that electronegative groups are necessary for activity and halogen, bulky, less bulky groups in quinazolinones nucleus enhanced the biological activity. The information rendered by 2D- and 3D-QSAR models may lead to a better understanding of structural requirements of substituted quinazolinones derivatives and also aid in designing novel potent antihypertensive molecules.
机译:对喹唑啉酮类似物进行定量结构 - 活性关系(QSAR)研究,用于预测抗高血压活性。具有R2 = 0.8118和PEAT_R〜2 = 0.7428的最佳显着的2D-QSAR模型是由逐步局部最小二乘法开发的。 K最近邻分子场分析用于构建最佳的3D QSAR模型,在Q〜2 = 0.7388和Pred_R〜2 = 0.6983方面显示出良好的相关性和预测能力。结果表明,2D-QSAR研究表明SSSQE指数和SSCH_3计数对生物活动的正贡献。结果表明,电信基团是活性和卤素所必需的,喹唑啉酮核中的庞大,较少的庞大基团增强了生物活性。由2D和3D-QSAR模型提供的信息可能导致更好地理解取代的喹唑啉酮衍生物的结构要求,也有助于设计新型有效的抗高血压分子。

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