Pibulwitthayalai School, 777 Naraimaharach, Talaychoopsorn, Lopburi District, Lopburi 15000, Thailand.
Medicinal Plant Research Institute, Department of Medical Sciences, Ministry of Public Health, Nonthaburi 11000, Thailand.
Molecules. 2022 Dec 21;28(1):50. doi: 10.3390/molecules28010050.
To control the COVID-19 pandemic, antivirals that specifically target the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are urgently required. The 3-chymotrypsin-like protease (3CLpro) is a promising drug target since it functions as a catalytic dyad in hydrolyzing polyprotein during the viral life cycle. Bioactive peptides, especially food-derived peptides, have a variety of functional activities, including antiviral activity, and also have a potential therapeutic effect against COVID-19. In this study, the hemp seed trypsinized peptidome was subjected to computer-aided screening against the 3CLpro of SARS-CoV-2. Using predictive trypsinized products of the five major proteins in hemp seed (i.e., edestin 1, edestin 2, edestin 3, albumin, and vicilin), the putative hydrolyzed peptidome was established and used as the input dataset. To select the antiviral peptides (csAVPs), a predictive bioinformatic analysis was performed by three webserver screening programs: iAMPpred, AVPpred, and Meta-iAVP. The amino acid composition profile comparison was performed by COPid to screen for the non-toxic and non-allergenic candidates, ToxinPred and AllerTOP and AllergenFP, respectively. GalaxyPepDock and HPEPDOCK were employed to perform the molecular docking of all selected csAVPs to the 3CLpro of SARS-CoV-2. Only the top docking-scored candidate (csAVP4) was further analyzed by molecular dynamics simulation for 150 nanoseconds. Molecular docking and molecular dynamics revealed the potential ability and stability of csAVP4 to inhibit the 3CLpro catalytic domain with hydrogen bond formation in domain 2 with short bonding distances. In addition, these top ten candidate bioactive peptides contained hydrophilic amino acid residues and exhibited a positive net charge. We hope that our results may guide the future development of alternative therapeutics against COVID-19.
为了控制 COVID-19 大流行,急需专门针对严重急性呼吸综合征冠状病毒 2(SARS-CoV-2)的抗病毒药物。3-糜蛋白酶样蛋白酶(3CLpro)是一个很有前途的药物靶点,因为它在病毒生命周期中作为水解多蛋白的催化二联体发挥作用。生物活性肽,特别是食物来源的肽,具有多种功能活性,包括抗病毒活性,并且对 COVID-19 也有潜在的治疗作用。在这项研究中,对大麻种子胰蛋白酶肽组进行了计算机辅助筛选,以对抗 SARS-CoV-2 的 3CLpro。使用大麻种子中五种主要蛋白质(即 edestin 1、edestin 2、edestin 3、白蛋白和 vicilin)的预测胰蛋白酶化产物,建立了假定的水解肽组,并将其用作输入数据集。为了选择抗病毒肽(csAVPs),通过三个网络服务器筛选程序:iAMPpred、AVPpred 和 Meta-iAVP 进行了预测生物信息学分析。通过 COPid 进行氨基酸组成谱比较,筛选出无毒和非变应原候选物,分别为 ToxinPred、AllerTOP 和 AllergenFP。使用 GalaxyPepDock 和 HPEPDOCK 对所有选定的 csAVPs 与 SARS-CoV-2 的 3CLpro 进行分子对接。只有顶级对接得分候选物(csAVP4)进一步通过 150 纳秒的分子动力学模拟进行分析。分子对接和分子动力学揭示了 csAVP4 抑制 3CLpro 催化结构域的潜在能力和稳定性,通过在结构域 2 形成氢键并保持短键距。此外,这十个候选生物活性肽含有亲水氨基酸残基,表现出正净电荷。我们希望我们的结果可以指导针对 COVID-19 的替代治疗方法的未来发展。