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出 处:《中南民族大学学报(自然科学版)》2014年第3期61-64,共4页Journal of South-Central University for Nationalities:Natural Science Edition
基 金:国家自然科学基金资助项目(30471432)
摘 要:利用SYBYL软件中的Topomer CoMFA方法分析了α,β-不饱和酰胺类TRPV1抑制剂的三维定量构效关系(3D-QSAR)模型.分子被分开为羰基和氨基两个基团,在Topomer CoMFA模型考察了立体场和静电场对抑制活性的影响.结果显示:去一交叉验证的相关系数q2为0.702,模型的预测相关系数r2为0.881.说明所建立的模型在统计上有较好的稳定性和预测能力,有助于TRPV1抑制剂的研发.The Topomer CoMFA method of software SYBYL was used to analyze the 3-dimensional quantitative structure-activity relationship (3D-QSAR) of TRPV1 inhibitor -α,β-unsaturated amide drugs .The amide molecule was divided into the carbonyl and amino groups , and the effect of the steric and electrostatic field on the inhibition of TRPV 1 were determined.The results showed that the coefficient q2 was 0.702 in the leave-one-out cross-validation (LOOCV), and the prediction coefficient r2 was 0.881, which displayed the statistical predictability and stability of the established model , and could be expected to study the TRPV1 inhibitors.
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