芳基烷基胺N -乙酰转移酶(AANAT)抑制剂的三维定量结构-活性关系:比较分子场分析

P. Chavatte, S. Yous, N. Beaurain, C. Mesangeau, G. Ferry, D. Lesieur
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引用次数: 4

摘要

采用比较分子场分析(CoMFA)的三维定量构效关系(3D-QSAR)方法对实验室合成的40个AANAT抑制剂进行了评价。从与双底物类似物结合的酶的x射线晶体结构中得出的n -溴乙酰色胺构象被用来获得这些抑制剂的推定生物活性构象。从随机组成的训练集(30个化合物)中获得5个具有统计学意义的模型,随后使用相应的测试集(10个化合物)进行验证。最佳预测模型(n=30, q2=0.644, n= 6, r2=0.966, s=0.145, F=109.478)可以预测多种化合物的抑制活性,并为在合成前设计新的AANAT抑制剂提供重要的结构见解。
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Three‐Dimensional Quantitative Structure‐Activity Relationship of Arylalkylamine N‐acetyltransferase (AANAT) Inhibitors: A Comparative Molecular Field Analysis
The three-dimensional quantitative structure-activity relationship (3D-QSAR) approach using comparative molecular field analysis (CoMFA) was applied to a series of 40 compounds synthesized in our laboratory and evaluated as AANAT inhibitors. The N-bromoacetyltryptamine conformation derived from the X-ray crystal structure of the enzyme bound with a bisubstrate analog, was used to obtain the putative bioactive conformation of these inhibitors. Five statistically significant models were obtained from the randomly constituted training sets (30 compounds) and subsequently validated with the corresponding test sets (10 compounds). The best predictive model (n=30, q2=0.644, N=6, r2=0.966, s=0.145, F=109.478) can predict inhibitory activity for a wide range of compounds and offers important structural insight into designing novel AANAT inhibitors prior to their synthesis.
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