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3D-QSAR 研究不饱和 4-氮甾体作为人类 5α-还原酶抑制剂:自组织分子场分析方法。

3D-QSAR studies on unsaturated 4-azasteroids as human 5alpha-reductase inhibitors: a self organizing molecular field analysis approach.

机构信息

University Institute of Pharmaceutical Sciences, Panjab University, Chandigarh 160 014, India.

出版信息

Eur J Med Chem. 2010 Feb;45(2):476-81. doi: 10.1016/j.ejmech.2009.10.030. Epub 2009 Oct 28.

Abstract

Azasteroids have been reported as inhibitors of human 5alpha-reductase enzyme. These were designed by substitution of one carbon atom of steroidal A ring by heteroatom nitrogen. Due to lack of information on the crystal structure of human 5alpha-reductase, 3D-QSAR study has been performed on a series of unsaturated 4-azasteroids using Self Organizing Molecular Field Analysis (SOMFA) for rationalizing the molecular properties and human 5alpha-reductase inhibitory activities. The statistical results having good cross-validated r(2)(cv) (0.783), non cross-validated r(2) (0.806) and F-test value (87.282), showed satisfied predictive ability. Analysis of SOMFA models through electrostatic and shape grids provide useful information for the design and optimization of new steroidal human 5alpha-reductase inhibitors.

摘要

已报道阿扎甾体化合物可抑制人 5α-还原酶。这些化合物通过甾体 A 环的一个碳原子被杂原子氮取代而设计得到。由于缺乏人 5α-还原酶晶体结构的信息,因此对一系列不饱和 4-氮杂甾体化合物进行了 3D-QSAR 研究,使用自组织分子场分析(SOMFA)来合理化分子性质和人 5α-还原酶抑制活性。统计结果具有良好的交叉验证 r(2)(cv)(0.783)、非交叉验证 r(2)(0.806)和 F 检验值(87.282),表明具有令人满意的预测能力。通过静电和形状网格对 SOMFA 模型进行分析,为新的甾体人 5α-还原酶抑制剂的设计和优化提供了有用信息。

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