PM3 Method based QSAR Study of the Derivatives of Thiadiazole and Quinoxaline for Antiepileptic Activity using Topological Descriptors

D. Mishra, Ashutosh Singh, S. Mishra, Priti Singh, Abhishek Singh
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Abstract

QSAR study of the derivatives of thiadiazole and quinoxaline has been performed for the antiepileptic activity using the topological descriptors viz., molar refractivity, shape index (basic kappa, order 1), shape index (basic kappa, order 2), shape index (basic kappa, order 3), valence connectivity index (order 0, standard), valence connectivity index (order 1, standard) and valence connectivity index (order 2, standard). In the best QSAR model, the descriptors are molar refractivity, shape index (basic kappa, order 1), shape index (basic kappa, order 3) and valence connectivity index (order 0, standard). In this QSAR model, the regression coefficient is 0.872435 and cross-validation coefficient is 0.832189, which indicate that this QSAR model can be used to predict the antiepileptic activity of any compound belonging to this series. QSAR model developed using single descriptor shape index (basic kappa, order 1) or shape index (basic kappa, order 3) or valence connectivity index (order 2, standard) also has good predictive power.
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基于PM3方法的拓扑描述子对噻二唑和喹诺啉衍生物抗癫痫活性的QSAR研究
利用拓扑描述符对噻二唑和喹诺啉衍生物的抗癫痫活性进行了QSAR研究,即摩尔折射率、形状指数(基本kappa, 1阶)、形状指数(基本kappa, 2阶)、形状指数(基本kappa, 3阶)、价连通性指数(0阶,标准)、价连通性指数(1阶,标准)和价连通性指数(2阶,标准)。在最佳QSAR模型中,描述符为摩尔折射率、形状指数(basickappa,阶1)、形状指数(basickappa,阶3)和价连通性指数(阶0,标准)。该QSAR模型的回归系数为0.872435,交叉验证系数为0.832189,表明该QSAR模型可用于预测该系列化合物的抗癫痫活性。采用单描述子形状指标(基本kappa,阶数为1)、形状指标(基本kappa,阶数为3)或价连通性指标(阶数为2,标准)建立的QSAR模型也具有较好的预测能力。
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