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Molecular Modeling Studies on 11H-Dibenzbeazepine and Dibenzbf14oxazepine Derivatives as Potent Agonists of the Human TRPA1 Receptor

机译:作为人类TRPA1受体强效激动剂的11H-二苯并be氮杂和二苯并bf 14氧杂氮衍生物的分子建模研究

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摘要

A computational strategy based on comparative molecular fields analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA) was performed on a series of the 11H-dibenz[b,e]azepine and dibenz[b,f][1,4]oxazepine derivatives as potent agonists of the human TRPA1 receptor. The CoMFA and CoMSIA models resulting from a 21 molecule training set gave r2cv values of 0.631 and 0.542 and r2 values of 0.986 and 0.981, respectively. The statistically significant models were validated by a test set of five compounds with predictive r2pred. values of 0.967 and 0.981 for CoMFA and CoMSIA, respectively. A systemic external validation was also performed on the established models. The information obtained from 3D counter maps could facilitate the design of more potent human TRPA1 receptor agonists.
机译:对一系列11H-dibenz [b,e] azepine和dibenz [b,f] [1,4] oxazep​​ine进行了基于比较分子场分析(CoMFA)和比较分子相似性指标分析(CoMSIA)的计算策略衍生物作为人类TRPA1受体的有效激动剂。由21个分子训练集生成的CoMFA和CoMSIA模型的r 2 cv值分别为0.631和0.542,r 2 值分别为0.986和0.981。具有统计学意义的模型由具有预测r 2 pred的五种化合物的测试集验证。 CoMFA和CoMSIA的数值分别为0.967和0.981。还对已建立的模型进行了系统的外部验证。从3D反向图获得的信息可能有助于设计更有效的人TRPA1受体激动剂。

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