...
首页> 外文期刊>Current computer-aided drug design >Computational Approaches for the Discovery of Cysteine Protease Inhibitors Against Malaria and SARS
【24h】

Computational Approaches for the Discovery of Cysteine Protease Inhibitors Against Malaria and SARS

机译:发现抗疟疾和非典的半胱氨酸蛋白酶抑制剂的计算方法

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

Cysteine proteases are implicated in a variety of human physiological processes and also form an essential component of the life cycle of a number of pathogenic protozoa and viruses. The present review highlights the drug design approaches utilized to understand the mechanism of inhibition and discovery of inhibitors against protozoal cysteine protease, falcipain (a cysteine protease of P. falciparum which causes malaria), and viral cysteine protease, SARS-CoV M (a cysteine protease of severe acute respiratory syndrome corona virus). The article describes rational approaches for the design of inhibitors and focuses on a variety of structure as well as ligand-based modeling strategies adopted for the discovery of the inhibitors. Also, the key features of ligand recognition against these targets are accentuated. Although no apparent similarities exist between viral and protozoal cysteine proteases discussed here, the goal is to provide examples of rational drug design approaches adopted to design inhibitors against these proteases. The current review would be of interest to scientists engaged in the development of drug design strategies to target the cysteine proteases present in mammals and other lower order organisms.
机译:半胱氨酸蛋白酶与多种人类生理过程有关,并且还构成许多致病性原生动物和病毒生命周期的重要组成部分。本综述着重介绍了用于理解和发现针对原生动物半胱氨酸蛋白酶,恶性疟原虫(恶性疟原虫的半胱氨酸蛋白酶,引起疟疾)和病毒半胱氨酸蛋白酶,SARS-CoV M(一种半胱氨酸)的抑制机理和发现抑制剂的药物设计方法。严重急性呼吸系统综合症冠状病毒蛋白酶)。本文介绍了抑制剂设计的合理方法,重点介绍了发现抑制剂所采用的各种结构以及基于配体的建模策略。同样,针对这些靶标的配体识别的关键特征也得到了强调。尽管此处讨论的病毒半胱氨酸和原生动物半胱氨酸蛋白酶之间没有明显的相似性,但目标是提供合理的药物设计方法实例,以设计针对这些蛋白酶的抑制剂。当前的综述对从事药物设计策略开发的科学家感兴趣,这些药物设计策略针对的是哺乳动物和其他低阶生物中存在的半胱氨酸蛋白酶。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号