School of Pharmacy, College of Pharmacy, Taipei Medical University, 250 Wuxing Street, Taipei, 11031, Taiwan.
TMU Research Center for Drug Discovery, Taipei Medical University, Taipei, 11031, Taiwan.
J Biomed Sci. 2022 Sep 6;29(1):65. doi: 10.1186/s12929-022-00847-6.
Unprecedented efforts of the researchers have been witnessed in the recent past towards the development of vaccine platforms for the control of the COVID-19 pandemic. Albeit, vaccination stands as a practical strategy to prevent SARS-CoV-2 infection, supplementing the anti-COVID19 arsenal with therapeutic options such as small molecules/peptides and antibodies is being conceived as a prudent strategy to tackle the emerging SARS-CoV-2 variants. Noteworthy to mention that collective efforts from numerous teams have led to the generation of a voluminous library composed of chemically and mechanistically diverse small molecules as anti-COVID19 scaffolds. This review article presents an overview of medicinal chemistry campaigns and drug repurposing programs that culminated in the identification of a plethora of small molecule-based anti-COVID19 drugs mediating their antiviral effects through inhibition of proteases, S protein, RdRp, ACE2, TMPRSS2, cathepsin and other targets. In light of the evidence ascertaining the potential of small molecule drugs to approach conserved proteins required for the viral replication of all coronaviruses, accelerated FDA approvals are anticipated for small molecules for the treatment of COVID19 shortly. Though the recent attempts invested in this direction in pursuit of enrichment of the anti-COVID-19 armoury (chemical tools) are praiseworthy, some strategies need to be implemented to extract conclusive benefits of the recently reported small molecule viz. (i) detailed preclinical investigation of the generated anti-COVID19 scaffolds (ii) in-vitro profiling of the inhibitors against the emerging SARS-CoV-2 variants (iii) development of assays enabling rapid screening of the libraries of anti-COVID19 scaffold (iv) leveraging the applications of machine learning based predictive models to expedite the anti-COVID19 drug discovery campaign (v) design of antibody-drug conjugates.
在最近一段时间,研究人员为开发控制 COVID-19 大流行的疫苗平台做出了前所未有的努力。尽管疫苗接种是预防 SARS-CoV-2 感染的一种实用策略,但人们开始考虑将小分子/肽和抗体等治疗方法作为补充抗 COVID19 武器库的一种谨慎策略,以应对新出现的 SARS-CoV-2 变体。值得一提的是,来自众多团队的共同努力导致生成了一个由具有化学和机械多样性的小分子组成的庞大文库,作为抗 COVID19 的支架。这篇综述文章概述了药物化学研究和药物再利用计划,这些计划最终确定了许多小分子抗 COVID19 药物,这些药物通过抑制蛋白酶、S 蛋白、RdRp、ACE2、TMPRSS2、组织蛋白酶和其他靶点来发挥其抗病毒作用。鉴于有证据表明小分子药物有可能针对所有冠状病毒复制所需的保守蛋白,预计很快就会加速 FDA 对小分子治疗 COVID19 的批准。尽管最近在这方面的努力是为了丰富抗 COVID-19 的武器库(化学工具),但需要实施一些策略来从最近报道的小分子中获得明确的益处,即:(i)对生成的抗 COVID19 支架进行详细的临床前研究;(ii)对抑制剂对新出现的 SARS-CoV-2 变体的体外分析;(iii)开发能够快速筛选抗 COVID19 支架库的测定方法;(iv)利用基于机器学习的预测模型来加速抗 COVID19 药物发现计划;(v)设计抗体药物偶联物。