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

机译:HIV-1天冬氨酸蛋白酶的非对称环状脲抑制剂的组合设计

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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 Cr-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 (K_i) of the generated analogs toward the HIV-1 PR. The fragments most frequently occurring in the analogs with the highest predicted inhibition potencies (K_i~* < 10 pM) were then selected to constitute a highly focused library subset containing novel nonsymmetrical cyclic ureas with predicted K_i~* 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.
机译: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感染的特定抗病毒药物的重要目标。我们采用了计算机辅助组合化学方法来设计PR的不对称取代的环状脲抑制剂的小型集中虚拟库。即,发现具有降低的肽特性的非对称化合物以与Cr假对称对应物相当的抑制力抑制PR,并具有优异的药代动力学特性。为了生成完全不对称的环状脲类似物的虚拟文库,从可用化学药品的数据库中选择了多种试剂,这些化学试剂的特性与已知的有效PR抑制剂的构造基团相似。蛋白酶抑制剂复合物PR-XV-638的X射线结构在虚拟库的基于结构的聚焦和计算机筛选中用作受体模型。使用针对特定环状脲抑制剂的QSAR训练参数集并针对未包含在训练集中的化合物进行验证的目标特异性LUDI型评分函数,可预测生成的类似物的抑制常数(K_i)对HIV-1 PR。然后选择具有最高预测抑制潜能(K_i〜* <10 pM)的类似物中最常出现的片段,以构成一个高度集中的文库子集,该库子集包含新的非对称环状脲,其预测K_i〜* s的幅度比C_i〜* s低1个数量级。最有效的已知环状脲抑制剂。计算出最有前途的类似物的ADME特性表明,环状脲具有广泛的有利药代动力学特性,这可能有助于发现有效的口服抗病毒药物。

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