Girijananda Chowdhury Institute of Pharmaceutical Science, Tezpur, Sonitpur, Assam, India.
Department of Pharmaceutical Sciences, Dibrugarh University, Dibrugarh, Assam, India.
Arch Pharm (Weinheim). 2022 May;355(5):e2100360. doi: 10.1002/ardp.202100360. Epub 2022 Mar 4.
Corona Virus Disease-19 (COVID-19) is a pandemic disease mainly caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). It had spread from Wuhan, China, in late 2019 and spread over 222 countries and territories all over the world. Earlier, at the very beginning of COVID-19 infection, there were no approved medicines or vaccines for combating this disease, which adversely affected a lot of individuals worldwide. Although frequent mutation leads to the generation of more deadly variants of SARS-CoV-2, researchers have developed several highly effective vaccines that were approved for emergency use by the World Health Organization (WHO), such as mRNA-1273 by Moderna, BNT162b2 by Pfizer/BioNTech, Ad26.COV2.S by Janssen, AZD1222 by Oxford/AstraZeneca, Covishield by the Serum Institute of India, BBIBP-CorV by Sinopharm, coronaVac by Sinovac, and Covaxin by Bharat Biotech, and the first US Food and Drug Administration-approved antiviral drug Veklury (remdesivir) for the treatment of COVID-19. Several waves of COVID-19 have already occurred worldwide, and good-quality vaccines and medicines should be available for ongoing as well as upcoming waves of the pandemic. Therefore, in silico studies have become an excellent tool for identifying possible ligands that could lead to the development of safer medicines or vaccines. Various phytoconstituents from plants and herbs with antiviral properties are studied further to obtain inhibitors of SARS-CoV-2. In silico screening of various molecular databases like PubChem, ZINC, Asinex Biol-Design Library, and so on has been performed extensively for finding effective ligands against targets. Herein, in silico studies carried out by various researchers are summarized so that one can easily find the best molecule for further in vitro and in vivo studies.
新型冠状病毒病(COVID-19)是一种主要由严重急性呼吸系统综合征冠状病毒 2(SARS-CoV-2)引起的大流行疾病。它于 2019 年底在中国武汉传播,并在全球 222 个国家和地区传播。早些时候,在 COVID-19 感染的初期,没有针对这种疾病的批准药物或疫苗,这对全球许多人产生了不利影响。尽管频繁的突变导致 SARS-CoV-2 产生了更多致命的变体,但研究人员已经开发出几种高效的疫苗,这些疫苗已获得世界卫生组织(WHO)的紧急使用批准,例如 Moderna 的 mRNA-1273、辉瑞/BioNTech 的 BNT162b2、Janssen 的 Ad26.COV2.S、牛津/阿斯利康的 AZD1222、印度血清研究所的 Covishield、国药集团的 BBIBP-CorV、科兴的 coronaVac 和 Bharat Biotech 的 Covaxin,以及美国食品和药物管理局批准的第一种用于治疗 COVID-19 的抗病毒药物 Veklury(瑞德西韦)。COVID-19 已在全球范围内出现了多波疫情,为应对当前和即将到来的疫情浪潮,应提供高质量的疫苗和药物。因此,计算机模拟研究已成为识别可能导致开发更安全药物或疫苗的潜在配体的绝佳工具。进一步研究具有抗病毒特性的植物和草药中的各种植物成分,以获得 SARS-CoV-2 的抑制剂。已经广泛对各种分子数据库(如 PubChem、ZINC、Asinex Biol-Design Library 等)进行了计算机模拟筛选,以寻找针对靶点的有效配体。在此,总结了不同研究人员进行的计算机模拟研究,以便人们可以轻松找到最适合进一步进行体外和体内研究的最佳分子。