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三维定量结构:使用比较分子场分析(CoMFA)和比较分子相似性指数分析(CoMSIA)对不同结构类别的HIV-1整合酶抑制剂进行活性关系研究。

Three-dimensional quantitative structure: activity relationship studies on diverse structural classes of HIV-1 integrase inhibitors using CoMFA and CoMSIA.

作者信息

Nunthaboot Nadtanet, Tonmunphean Somsak, Parasuk Vudhichai, Wolschann Peter, Kokpol Sirirat

机构信息

Department of Chemistry, Faculty of Science, Chulalongkorn University, Bangkok, Thailand.

出版信息

Eur J Med Chem. 2006 Dec;41(12):1359-72. doi: 10.1016/j.ejmech.2006.06.014. Epub 2006 Sep 26.

DOI:10.1016/j.ejmech.2006.06.014
PMID:17002889
Abstract

Comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA), three-dimensional quantitative structure-activity relationship (3D-QSAR) techniques, were applied to a set of 89 HIV-1 integrase (IN) inhibitors (training set=61, test set=28), belonging to 11 structurally different classes. The biological data for 3' processing mechanism were used. For CoMFA calculations, three different fitting methods for alignment process were investigated. The best CoMFA model yielded the cross-validated r(2) r(2)(cv) =0.698 and the non-cross-validated r(2) (r(2))=0.947. The derived model indicated the importance of steric (60.8%) as well as electrostatic (39.2%) contributions. For CoMSIA calculations, different combinations of the fields were tested. The best CoMSIA model gave r(2)(cv) =0.724 and r(2)=0.864. This model showed that steric (30.3%), hydrogen bond donor (43.4%) and hydrogen bond acceptor (26.3%) properties played major roles in HIV-1 IN inhibition. The mapping of hydrogen bond interaction fields with the HIV-1 IN active site gave details on hydrogen bond forming between ligands and enzyme. These obtained results agree well with the experimental observations that there should be hydrogen bond interactions between ligands and Glu152, Lys156 and Lys159 residues. The results not only lead to a better understanding of structural requirements of HIV-1 IN inhibitors but also can help in the design of new IN inhibitors.

摘要

比较分子场分析(CoMFA)和比较分子相似性指数分析(CoMSIA)这两种三维定量构效关系(3D-QSAR)技术,被应用于一组89种HIV-1整合酶(IN)抑制剂(训练集=61,测试集=28),它们属于11个结构不同的类别。使用了关于3'加工机制的生物学数据。对于CoMFA计算,研究了三种不同的对齐过程拟合方法。最佳的CoMFA模型得到交叉验证的r(2) r(2)(cv) =0.698和非交叉验证的r(2)(r(2))=0.947。推导的模型表明空间位阻(60.8%)以及静电作用(39.2%)的贡献很重要。对于CoMSIA计算,测试了不同的场组合。最佳的CoMSIA模型给出r(2)(cv) =0.724和r(2)=0.864。该模型表明空间位阻(30.3%)、氢键供体(43.4%)和氢键受体(26.3%)性质在HIV-1 IN抑制中起主要作用。氢键相互作用场与HIV-1 IN活性位点的映射给出了配体与酶之间形成氢键的细节。这些所得结果与实验观察结果非常吻合,即配体与Glu152、Lys156和Lys159残基之间应该存在氢键相互作用。这些结果不仅有助于更好地理解HIV-1 IN抑制剂的结构要求,还能有助于设计新的IN抑制剂。

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