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首页> 外文期刊>Letters in drug design & discovery >In silico Studies Toward the Discovery of Novel Type-II Inhibitors of TrkA: Pharmacophore-based 3D-QSAR Modeling, Database Screening and Molecular Docking
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In silico Studies Toward the Discovery of Novel Type-II Inhibitors of TrkA: Pharmacophore-based 3D-QSAR Modeling, Database Screening and Molecular Docking

机译:在计算机上研究新型TrkA II型抑制剂的发现:基于药理学的3D-QSAR建模,数据库筛选和分子对接

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Tropomysin receptor kinase A (TrkA) is an excellent drug target for its important roles in pain sensation as well as tumour cell growth. Up to now, the discovered TrkA inhibitors belong mostly to type-I class targeting the ATP binding site, while we aim to find type-II inhibitors because they are deemed to have improved kinase selectivity and slower off-rates than their counterparts. The type-II inhibitors can induce TrkA in an inactive DFG-out form and insert in an additional hydrophobic cavity adjacent to the ATP binding pocket. The current article describes efforts to discover novel type-II scaffolds against TrkA via integrating pharmacophore-based 3D-QSAR modeling, database screening and molecular docking. The robustness of the best model, AAHRR. 8, was seriously ascertained by the high R-2 (0.9027), Q(2) (0.7048), low RMSE (0.4016) and SD (0.3635). It was further used as a 3D query to screen against our in-house collection of almost 1.3 million compounds followed by molecular docking simulations using three docking protocols involving Glide SP, Surflex and Glide XP. 12 hits, which mapped well on the best pharmacophore model, displayed good docking score and rational binding mode, were selected as promising selective leads of TrkA. Finally, ADME study was carried out and the results indicated that these 12 compounds own drug-like properties. The 12 hits together with the best 3D-QSAR model will be helpful for future potent TrkA agent development.
机译:Tropomysin受体激酶A(TrkA)因其在疼痛感觉以及肿瘤细胞生长中的重要作用而成为极好的药物靶标。到目前为止,已发现的TrkA抑制剂主要属于针对ATP结合位点的I型类别,而我们的目标是寻找II型抑制剂,因为它们被认为比同类抑制剂具有更高的激酶选择性和更慢的失效率。 II型抑制剂可以以非活性DFG-out形式诱导TrkA,并插入邻近ATP结合袋的另一个疏水腔中。本文介绍了通过整合基于药效团的3D-QSAR建模,数据库筛选和分子对接来发现针对TrkA的新型II型支架的努力。最佳模型AAHRR的鲁棒性。高R-2(0.9027),Q(2)(0.7048),低RMSE(0.4016)和SD(0.3635)认真确定了图8。它进一步用作3D查询,以筛选我们内部收集的近130万种化合物,然后使用涉及Glide SP,Surflex和Glide XP的三种对接方案进行分子对接模拟。选择了12条命中点,它们很好地映射到最佳药效团模型上,表现出良好的对接得分和合理的结合模式,被选为有前途的TrkA选择性先导。最后,进行了ADME研究,结果表明这12种化合物具有类药物性质。这12个热门歌曲以及最佳的3D-QSAR模型将有助于未来有效的TrkA代理开发。

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