Dipartimento di Chimica e Tecnologia del Farmaco, Università di Perugia, Via del Liceo 1, 06123 Perugia, Italy.
Future Med Chem. 2011 Jun;3(8):1027-55. doi: 10.4155/fmc.11.53.
Chronic infection by hepatitis C virus (HCV) often leads to severe liver disease including cirrhosis, hepatocellular carcinoma and liver failure. Despite it being more than 20 years since the identification of HCV, the current standard of care for treating the infection is based on aspecific therapy often associated with severe side effects and low-sustained virological response. Research is ongoing to develop new and better medications, including a broad range of allosteric NS5B polymerase inhibitors. This article reviews traditional computational methodologies and more recently developed in silico strategies aimed at identifying and optimizing non-nucleoside inhibitors targeting allosteric sites of HCV NS5B polymerase. The drug-discovery approaches reviewed could provide take-home lessons for general computer-aided research projects.
慢性丙型肝炎病毒(HCV)感染常导致严重的肝脏疾病,包括肝硬化、肝细胞癌和肝衰竭。尽管自 HCV 被发现以来已经超过 20 年,但目前治疗感染的标准治疗方法仍是基于非特异性治疗,这种治疗方法常常伴有严重的副作用和低持续病毒学应答。目前正在研究开发新的更好的药物,包括广泛的变构 NS5B 聚合酶抑制剂。本文综述了传统的计算方法学和最近开发的用于鉴定和优化靶向 HCV NS5B 聚合酶变构部位的非核苷抑制剂的计算策略。综述的药物发现方法为一般计算机辅助研究项目提供了一些经验教训。