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A new method for induced fit docking (GENIUS) and its application to virtual screening of novel HCV NS3-4A protease inhibitors.

机译:诱导适合对接的新方法(GENIUS)及其在虚拟筛选新型HCV NS3-4A蛋白酶抑制剂中的应用。

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摘要

Hepatitis C virus (HCV) is an etiologic agent of chronic liver disease, and approximately 170 million people worldwide are infected with the virus. HCV NS3-4A serine protease is essential for the replication of this virus, and thus has been investigated as an attractive target for anti-HCV drugs. In this study, we developed our new induced-fit docking program (genius), and applied it to the discovery of a new class of NS3-4A protease inhibitors (IC(50)=1-10 muM including high selectivity index). The new inhibitors thus identified were modified, based on the docking models, and revealed preliminary structure-activity relationships. Moreover, the genius in silico screening performance was validated by using an enrichment factor. We believe our designed scaffold could contribute to the improvement of HCV chemotherapy.
机译:丙型肝炎病毒(HCV)是慢性肝病的病因,全球约有1亿7千万人感染了该病毒。 HCV NS3-4A丝氨酸蛋白酶对该病毒的复制至关重要,因此已被研究为抗HCV药物的诱人靶标。在这项研究中,我们开发了我们的新的诱导拟合对接程序(天才),并将其应用于发现一类新的NS3-4A蛋白酶抑制剂(IC(50)= 1-10μM,包括高选择性指数)。基于对接模型,对由此鉴定出的新抑制剂进行了修饰,并揭示了初步的构效关系。此外,通过使用富集因子验证了天才的计算机筛选性能。我们相信我们设计的支架可以帮助改善HCV化疗。

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