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HIV-1天冬氨酸蛋白酶非对称环状脲抑制剂的组合设计

Combinatorial design of nonsymmetrical cyclic urea inhibitors of aspartic protease of HIV-1.

作者信息

Frecer Vladimír, Burello Enrico, Miertus Stanislav

机构信息

International Centre for Science and High Technology, UNIDO, AREA Science Park, Padriciano 99, I-34012 Trieste, Italy.

出版信息

Bioorg Med Chem. 2005 Sep 15;13(18):5492-501. doi: 10.1016/j.bmc.2005.06.026.

Abstract

The aspartic protease (PR) of the human immunodeficiency virus type 1 (HIV-1) is an important target for the design of specific antiviral agents dedicated to treatment of HIV-1 infection. We have employed computer-assisted combinatorial chemistry methods to design a small focused virtual library of nonsymmetrically substituted cyclic urea inhibitors of the PR. Nonsymmetrical compounds with decreased peptidic character were namely found to inhibit the PR with comparable inhibition potencies as their C2-pseudosymmetric counterparts and to possess superior pharmacokinetic properties. To generate the virtual library of fully nonsymmetrical cyclic urea analogs, diverse reagents were selected from databases of available chemicals with characteristics similar to those of the building blocks of known potent PR inhibitors. The X-ray structure of the protease-inhibitor complex PR-XV-638 was used as the receptor model in the structure-based focusing and in silico screening of the virtual library. A target-specific LUDI-type scoring function, parameterized for a QSAR training set of known cyclic urea inhibitors and validated on a set of compounds not included into the training set, was used to predict the inhibition constants (Ki) of the generated analogs toward the HIV-1 PR. The fragments most frequently occurring in the analogs with the highest predicted inhibition potencies (Ki*<10 pM) were then selected to constitute a highly focused library subset containing novel nonsymmetrical cyclic ureas with predicted Ki*s 1 order of magnitude lower than the most potent known cyclic urea inhibitors. ADME properties calculated for the most promising analogs suggested that the cyclic ureas are endowed with a wide range of favorable pharmacokinetic properties, which may favor the discovery of a potent orally administrable antiviral drug.

摘要

1型人类免疫缺陷病毒(HIV-1)的天冬氨酸蛋白酶(PR)是设计用于治疗HIV-1感染的特异性抗病毒药物的重要靶点。我们采用计算机辅助组合化学方法设计了一个小型聚焦虚拟库,其中包含PR的非对称取代环脲抑制剂。结果发现,具有降低肽性的非对称化合物抑制PR的效力与它们的C2-假对称对应物相当,并且具有优异的药代动力学性质。为了生成完全非对称环脲类似物的虚拟库,从可用化学品数据库中选择了具有与已知强效PR抑制剂的结构单元相似特征的各种试剂。蛋白酶-抑制剂复合物PR-XV-638的X射线结构被用作基于结构的聚焦和虚拟库的计算机模拟筛选中的受体模型。使用针对已知环脲抑制剂的QSAR训练集进行参数化并在不包含在训练集中的一组化合物上进行验证的目标特异性LUDI型评分函数,来预测生成的类似物对HIV-1 PR的抑制常数(Ki)。然后选择在预测抑制效力最高(Ki*<10 pM)的类似物中最常出现的片段,以构成一个高度聚焦的库子集,其中包含预测的Ki*比最有效的已知环脲抑制剂低1个数量级的新型非对称环脲。对最有前景的类似物计算的ADME性质表明,环脲具有广泛的有利药代动力学性质,这可能有利于发现一种有效的口服抗病毒药物。

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