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运用 GFA 和 G/PLS 技术探索不同功能化合物与 CYP11B2 结合亲和力和 CYP11B2/CYP11B1 选择性的定量构效关系(QSAR)。

Exploring QSAR for CYP11B2 binding affinity and CYP11B2/CYP11B1 selectivity of diverse functional compounds using GFA and G/PLS techniques.

机构信息

Pharmaceutical Technology, Jadavpur University, Kolkata, India.

出版信息

J Enzyme Inhib Med Chem. 2010 Jun;25(3):354-69. doi: 10.3109/14756360903179476.

Abstract

A data set of a series of 132 structurally diverse compounds with cytochrome 11B2 and 11B1 (CYP11B2 and CYP11B1) enzyme inhibitory activities was subjected to molecular shape analysis to explore contributions of shape features as well as electronic, structural, and physicochemical parameters toward enzyme inhibitory activities, in search of appropriate molecular scaffolds with optimum substitutions for highly potent CYP11B2 inhibitors. Genetic function approximation (GFA) and genetic partial least squares (G/PLS) were used as chemometric tools for modeling, and the derived equations were of acceptable statistical quality considering both internal and external validation parameters (Q(2): 0.514-0.659, R(2)(pred): 0.510-0.734). The G/PLS models with spline option for CYP11B2 and CYP11B1 inhibition and selectivity modeling appeared to be the best models based on r(m)(2)((overall)) criterion. The study indicates the importance of the pyridinylnaphthalene and pyridylmethylene-indane scaffolds with less polar and electrophilic substituents for optimum CYP11B2 inhibitory activity and CYP11B2/CYP11B1 selectivity.

摘要

一组 132 种结构多样的化合物的数据集,具有细胞色素 11B2 和 11B1(CYP11B2 和 CYP11B1)酶抑制活性,经过分子形状分析,探讨了形状特征以及电子、结构和物理化学参数对酶抑制活性的贡献,寻找具有最佳取代基的合适分子支架,以获得高活性的 CYP11B2 抑制剂。遗传函数逼近(GFA)和遗传偏最小二乘法(G/PLS)被用作建模的化学计量学工具,并且考虑到内部和外部验证参数(Q(2):0.514-0.659,R(2)(预测):0.510-0.734),得出的方程具有可接受的统计质量。对于 CYP11B2 和 CYP11B1 抑制和选择性建模,具有样条选项的 G/PLS 模型似乎是基于 r(m)(2)((整体))标准的最佳模型。该研究表明,具有较少极性和亲电取代基的吡啶基萘和吡啶亚甲基-茚烷支架对于最佳 CYP11B2 抑制活性和 CYP11B2/CYP11B1 选择性非常重要。

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