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作为甾体 5α-还原酶抑制剂的孕烷衍生物的自组织分子场分析。

Self-organizing molecular field analysis on pregnane derivatives as human steroidal 5alpha-reductase inhibitors.

机构信息

University Institute of Pharmaceutical Sciences, Panjab University, Chandigarh 160014, U.T., India.

出版信息

Steroids. 2010 Jun;75(6):411-8. doi: 10.1016/j.steroids.2010.02.005. Epub 2010 Feb 16.

DOI:10.1016/j.steroids.2010.02.005
PMID:20170668
Abstract

Normal growth and development of human prostate is regulated by the androgens which balances cell proliferation and apoptosis. Testosterone (T) and dihydrotestosterone (DHT) are the two key androgens that stimulate most of the androgen action in prostate. Testosterone is converted to DHT by the membrane bound NADPH-dependent 5alpha-reductase enzyme. As a consequence of the important observation that progesterone and deoxycortisone inhibits the synthesis of DHT by competing with 4-en-3-one function of the testosterone for the 5alpha-reductase enzyme a number of pregnane derivatives were synthesized and have been reported as inhibitors of human 5alpha-reductase enzyme. Due to lack of information on the crystal structure of human 5alpha-reductase, ligand-based 3D-QSAR study has been performed on pregnane derivatives 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(cv)(2) (0.881), non-cross-validated r(2) (0.893) and F-test value (175.527), showed satisfied predictive ability r(pred)(2) (0.777). Analysis of SOMFA models through electrostatic and shape grids provide useful information for the design and optimization of steroidal structure as novel human 5alpha-reductase inhibitors.

摘要

人类前列腺的正常生长和发育受雄激素调控,雄激素平衡细胞增殖和凋亡。睾酮(T)和二氢睾酮(DHT)是刺激前列腺中大多数雄激素作用的两种关键雄激素。睾酮通过膜结合的 NADPH 依赖性 5α-还原酶酶转化为 DHT。由于孕激素和脱氧皮质酮通过与睾酮的 4-烯-3-酮功能竞争抑制 DHT 的合成这一重要观察结果,许多孕烷衍生物被合成,并被报道为人类 5α-还原酶酶的抑制剂。由于缺乏人 5α-还原酶的晶体结构信息,使用自组织分子场分析(SOMFA)对孕烷衍生物进行了基于配体的 3D-QSAR 研究,以合理推断分子性质和人 5α-还原酶抑制活性。具有良好交叉验证 r(cv)(2)(0.881)、非交叉验证 r(2)(0.893)和 F 检验值(175.527)的统计结果表明,具有令人满意的预测能力 r(pred)(2)(0.777)。通过静电和形状网格对 SOMFA 模型的分析提供了有关甾体结构设计和优化作为新型人 5α-还原酶抑制剂的有用信息。

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