目的:研究抗肿瘤靶点人MutT同源体1蛋白(Human MutT Homolog-1,MTH1)抑制剂的构效关系,构建药效团筛选模型筛选潜在的MTH1抑制剂。方法:采用计算机辅助药物设计方法,通过Discovery Studio 3.0软件包中分子共同特征药效团HipHop算法,使...目的:研究抗肿瘤靶点人MutT同源体1蛋白(Human MutT Homolog-1,MTH1)抑制剂的构效关系,构建药效团筛选模型筛选潜在的MTH1抑制剂。方法:采用计算机辅助药物设计方法,通过Discovery Studio 3.0软件包中分子共同特征药效团HipHop算法,使用14个已知MTH1抑制剂分子作为训练集构建药效团模型,并通过Decoy Set验证准确性。结果:获得富集率为13.1的HipHop药效团模型,通过分子对接验证虚拟筛选出的75个候选化合物,得到先导化合物GK01945和HTS07767,能与受体形成良好的相互作用。结论:构建的药效团模型可以作为筛选模型,筛选出的MTH1潜在抑制剂,为抗肿瘤药物MTH1抑制剂开发提供了新思路。展开更多
The biophore model of sulfonylurea herbicides (the training set contains 31 compounds) was obtained by using the advanced APEX-3D method. On the basis of the identilied biophore model, the activities of some known ALS...The biophore model of sulfonylurea herbicides (the training set contains 31 compounds) was obtained by using the advanced APEX-3D method. On the basis of the identilied biophore model, the activities of some known ALS inhibitors were predicted.Most of the predictions were in good agreement with experiments. The quality of the biophore model has been proved to be reliable. This research suggests a new approach for designing the new series of ALS inhibitors.展开更多
文摘The biophore model of sulfonylurea herbicides (the training set contains 31 compounds) was obtained by using the advanced APEX-3D method. On the basis of the identilied biophore model, the activities of some known ALS inhibitors were predicted.Most of the predictions were in good agreement with experiments. The quality of the biophore model has been proved to be reliable. This research suggests a new approach for designing the new series of ALS inhibitors.
