Chen Jie, Zhou Xiang, Fu Lifeng, Xu Haiyu
Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, China.
School of Chinese Medicine, Shenyang Pharmaceutical University, Shenyang 110016, China.
Pharmaceuticals (Basel). 2023 May 19;16(5):767. doi: 10.3390/ph16050767.
Drugs that cure COVID-19 have been marketed; however, this disease continues to ravage the world without becoming extinct, and thus, drug discoveries are still relevant. Since M has known advantages as a drug target, such as the conserved nature of the active site and the absence of homologous proteins in the body, it receives the attention of many researchers. Meanwhile, the role of traditional Chinese medicine (TCM) in the control of epidemics in China has also led to a focus on natural products, with the hope of finding some promising lead molecules through screening. In this study, we selected a commercial library of 2526 natural products from plants, animals and microorganisms with known biological activity for drug discovery, which had previously been reported for compound screening of the SARS CoV-2 S protein, but had not been tested on M. This library contains compounds from a variety of Chinese herbs, including , and , which are derived from traditional Chinese medicine prescriptions that have been shown to be effective against COVID-19. We used the conventional FRET method for the initial screening. After two rounds of selection, the remaining 86 compounds were divided into flavonoids, lipids, phenylpropanoids, phenols, quinones, alkaloids, terpenoids and steroids according to the skeleton structures, with inhibition rates greater than 70%. The top compounds in each group were selected to test the effective concentration ranges; the IC values were as follows: (-)-gallocatechin gallate (1.522 ± 0.126 μM), ginkgolic acid C15:1 (9.352 ± 0.531 μM), hematoxylin (1.025 ± 0.042 μM), fraxetin (2.486 ± 0.178 μM), wedelolactone (1.003 ± 0.238 μM), hydroxytyrosol acetate (3.850 ± 0.576 μM), vanitiolide (2.837 ± 0.225 μM), β,β-dimethylacrylalkannin (2.731 ± 0.308 μM), melanin (7.373 ± 0.368 μM) and cholesteryl sodium sulfate (2.741 ± 0.234μM). In the next step, we employed two biophysical techniques, SPR and nanoDSF, to obtain K/K values: hematoxylin (0.7 μM), (-)-gallocatechin gallate (126 μM), ginkgolic acid C15:1 (227 μM), wedelolactone (0.9770 μM), β,β-dimethylacrylalkannin (1.9004 μM,), cholesteryl sodium sulfate (7.5950 μM) and melanin (11.5667 μM), which allowed better assessments of the binding levels. Here, seven compounds were the winners. Then, molecular docking experiments were specially performed by AutoDock Vina to analyze the mode of interactions within M and ligands. We finally formulated the present in silico study to predict pharmacokinetic parameters as well as drug-like properties, which is presumably the step that tells humans whether the compounds are drug-like or not. Moreover, hematoxylin, melanin, wedelolactone, β,β-dimethylacrylalkannin and cholesteryl sodium sulfate are in full compliance with the "Lipinski" principle and possess reasonable ADME/T properties, they have a greater potential of being lead compounds. The proposed five compounds are also the first to be found to have potential inhibitory effects on SARS CoV-2 M. We hope that the results in this manuscript may serve as benchmarks for the above potentials.
治疗新冠病毒病的药物已投放市场;然而,这种疾病仍在肆虐全球,并未消失,因此,药物研发仍然具有重要意义。由于M作为药物靶点具有已知优势,如活性位点的保守性以及体内不存在同源蛋白,它受到了许多研究人员的关注。与此同时,中药在我国疫情防控中的作用也使得人们将重点放在天然产物上,希望通过筛选找到一些有前景的先导分子。在本研究中,我们选择了一个包含2526种具有已知生物活性的天然产物的商业文库用于药物研发,这些天然产物来自植物、动物和微生物,此前已报道用于严重急性呼吸综合征冠状病毒2(SARS-CoV-2)刺突蛋白的化合物筛选,但尚未在M上进行测试。该文库包含多种中草药的化合物,包括 、 和 ,它们源自已被证明对新冠病毒病有效的中药方剂。我们使用传统的荧光共振能量转移(FRET)方法进行初步筛选。经过两轮筛选,剩余的86种化合物根据骨架结构分为黄酮类、脂质类、苯丙素类、酚类、醌类、生物碱类、萜类和甾体类,抑制率均大于70%。每组中排名靠前的化合物被选来测试有效浓度范围;半数抑制浓度(IC)值如下:(-)-没食子儿茶素没食子酸酯(1.522±0.126微摩尔/升)、银杏酸C15:1(9.352±0.531微摩尔/升)、苏木精(1.025±0.042微摩尔/升)、秦皮素(2.486±0.178微摩尔/升)、水飞蓟宾(1.003±0.238微摩尔/升)、乙酰基酪醇(3.850±0.576微摩尔/升)、香草二乙酮(2.837±0.225微摩尔/升)、β,β-二甲基丙烯基紫草素(2.731±0.308微摩尔/升)、黑色素(7.373±0.368微摩尔/升)和胆固醇硫酸酯钠(2.741±0.234微摩尔/升)。在下一步中,我们采用表面等离子体共振(SPR)和纳米差示扫描荧光法(nanoDSF)这两种生物物理技术来获得解离常数(Kd)/平衡解离常数(K)值:苏木精(0.7微摩尔/升)、(-)-没食子儿茶素没食子酸酯(126微摩尔/升)、银杏酸C15:1(227微摩尔/升)、水飞蓟宾(0.9770微摩尔/升)、β,β-二甲基丙烯基紫草素(1.9004微摩尔/升)、胆固醇硫酸酯钠(7.5950微摩尔/升)和黑色素(11.5667微摩尔/升),这使得我们能够更好地评估结合水平。在此,七种化合物表现突出。然后,通过AutoDock Vina专门进行分子对接实验,以分析M与配体之间的相互作用模式。我们最终开展了本次计算机模拟研究,以预测药代动力学参数以及类药性质,这大概是判断这些化合物是否具有类药特性的步骤。此外,苏木精、黑色素、水飞蓟宾、β,β-二甲基丙烯基紫草素和胆固醇硫酸酯钠完全符合“Lipinski”原则,具有合理的吸收、分布、代谢和排泄(ADME)/转运体性质,它们具有更大的成为先导化合物的潜力。所提出的这五种化合物也是首次被发现对SARS-CoV-2 M具有潜在抑制作用。我们希望本论文中的结果可作为上述潜力的参考标准。