Bengbu Hospital of Traditional Chinese Medicine, 4339 Huai-shang Road, Bengbu, Anhui, 233080, P. R. China.
Department of Chemistry, The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong, China.
Angew Chem Int Ed Engl. 2021 Apr 26;60(18):9789-9802. doi: 10.1002/anie.202008835. Epub 2021 Jan 7.
The mainstream approach to antiviral drugs against COVID-19 is to focus on key stages of the SARS-CoV-2 life cycle. The vast majority of candidates under investigation are repurposed from agents of other indications. Understanding protein-inhibitor interactions at the molecular scale will provide crucial insights for drug discovery to stop this pandemic. In this article, we summarize and analyze the most recent structural data on several viral targets in the presence of promising inhibitors for COVID-19 in the context of the perspective of modes of action (MOA) to unravel insightful mechanistic features with atomistic resolution. The targets include spike glycoprotein and various host proteases mediating the entry of the virus into the cells, viral chymotrypsin- and papain-like proteases, and RNA-dependent RNA polymerase. The main purpose of this review is to present detailed MOA analysis to inspire fresh ideas for both de novo drug design and optimization of known scaffolds to combat COVID-19.
针对 COVID-19 的抗病毒药物的主流方法是专注于 SARS-CoV-2 生命周期的关键阶段。大多数正在研究的候选药物都是从其他适应症的药物中重新开发而来的。在药物发现方面,了解分子水平上的蛋白质-抑制剂相互作用将为阻止这一大流行病提供至关重要的见解。在本文中,我们总结和分析了在存在针对 COVID-19 的有希望的抑制剂的情况下,几种病毒靶标在作用模式(MOA)方面的最新结构数据,以阐明具有原子分辨率的有洞察力的机制特征。这些靶标包括刺突糖蛋白和介导病毒进入细胞的各种宿主蛋白酶、病毒糜蛋白酶和木瓜蛋白酶样蛋白酶以及 RNA 依赖性 RNA 聚合酶。本文的主要目的是进行详细的 MOA 分析,为从头设计药物和优化已知支架以对抗 COVID-19 提供新的思路。