Bhattacharya Kunal, Bordoloi Ripunjoy, Chanu Nongmaithem Randhoni, Kalita Ramen, Sahariah Bhargab Jyoti, Bhattacharjee Atanu
NETES Institute of Pharmaceutical Science, Mirza, Guwahati, Assam, 781125, India.
Assam Science and Technology University, Guwahati, Assam, India.
J Genet Eng Biotechnol. 2022 Mar 9;20(1):43. doi: 10.1186/s43141-022-00314-7.
The derivatives of quercetin is known for their immune-modulating antiviral, anti-blood clotting, antioxidant, and also for its anti-inflammatory efficacy. The current study was therefore conducted to examine the noted novel derivatives of quercetin present in plant sources as an immune modulator and as an antiviral molecule in the COVID-19 disease and also to study their affinity of binding with potential three targets reported for coronavirus, i.e., papain-like protease, spike protein receptor-binding domain, and 3C-like protease. Based on the high-positive drug-likeness score, the reported derivatives of quercetin obtained from an open-source database were further filtered. Compounds with positive and high drug-likeness scores were further predicted for their potential targets using DIGEP-Pred software, and STRING was used to evaluate the interaction between modulated proteins. The associated pathways were recorded based on the Kyoto Encyclopedia of Genes and Genomes pathway database. Docking was performed finally using PyRx having AutoDock Vina to identify the efficacy of binding between quercetin derivatives with papain-like protease, spike protein receptor-binding domain, and 3C-like protease. The ligand that scored minimum binding energy was chosen to visualize the interaction between protein and ligand. Normal mode analysis in internal coordinates was done with normal mode analysis to evaluate the physical movement and stability of the best protein-ligand complexes using the iMODS server.
Forty bioactive compounds with the highest positive drug-likeness scores were identified. These 40 bioactives were responsible for regulating different pathways associated with antiviral activity and modulation of immunity. Finally, three lead molecules were identified based on the molecular docking and dynamics simulation studies with the highest anti-COVID-19 and immunomodulatory potentials. Standard antiviral drug remdesivir on docking showed a binding affinity of - 5.8 kcal/mol with PLpro, - 6.4 kcal/mol with 3CLpro, and - 8.6 kcal/mol with spike protein receptor-binding domain of SARS-CoV-2, the discovered hit molecules quercetin 3-O-arabinoside 7-O-rhamnoside showed binding affinity of - 8.2 kcal/mol with PLpro, whereas quercetin 3-[rhamnosyl-(1- > 2)-alpha-L-arabinopyranoside] and quercetin-3-neohesperidoside-7-rhamnoside was predicted to have a binding affinity of - 8.5 kcal/mol and - 8.8 kcal/mol with spike protein receptor-binding domain and 3CLpro respectively CONCLUSION: Docking study revealed quercetin 3-O-arabinoside 7-O-rhamnoside to possess the highest binding affinity with papain-like protease, quercetin 3-[rhamnosyl-(1- > 2)-alpha-L-arabinopyranoside] with spike protein receptor-binding domain, and quercetin-3-neohesperidoside-7-rhamnoside with 3C-like protease and all the protein-ligand complexes were found to be stable after performing the normal mode analysis of the complexes in internal coordinates.
槲皮素衍生物以其免疫调节、抗病毒、抗凝血、抗氧化及抗炎功效而闻名。因此,本研究旨在检测植物来源中存在的槲皮素新型衍生物,作为免疫调节剂和抗新冠病毒病的抗病毒分子,并研究它们与冠状病毒报道的三个潜在靶点,即木瓜样蛋白酶、刺突蛋白受体结合结构域和3C样蛋白酶的结合亲和力。基于高阳性药物相似性评分,从开源数据库中获取的已报道槲皮素衍生物进一步筛选。使用DIGEP-Pred软件对具有阳性和高药物相似性评分的化合物进一步预测其潜在靶点,并使用STRING评估调节蛋白之间的相互作用。根据京都基因与基因组百科全书通路数据库记录相关通路。最后使用具有自动对接Vina的PyRx进行对接,以确定槲皮素衍生物与木瓜样蛋白酶、刺突蛋白受体结合结构域和3C样蛋白酶之间的结合效力。选择具有最低结合能得分的配体来可视化蛋白质与配体之间的相互作用。使用iMODS服务器通过内部坐标的正常模式分析来评估最佳蛋白质-配体复合物的物理运动和稳定性。
鉴定出40种具有最高阳性药物相似性评分的生物活性化合物。这40种生物活性物质负责调节与抗病毒活性和免疫调节相关的不同途径。最后,基于分子对接和动力学模拟研究,确定了三种具有最高抗新冠病毒和免疫调节潜力的先导分子。对接时,标准抗病毒药物瑞德西韦与木瓜样蛋白酶的结合亲和力为-5.8 kcal/mol,与3C样蛋白酶的结合亲和力为-6.4 kcal/mol,与严重急性呼吸综合征冠状病毒2刺突蛋白受体结合结构域的结合亲和力为-8.6 kcal/mol,发现的命中分子槲皮素3-O-阿拉伯糖苷7-O-鼠李糖苷与木瓜样蛋白酶的结合亲和力为-8.2 kcal/mol,而槲皮素3-[鼠李糖基-(1->2)-α-L-阿拉伯吡喃糖苷]和槲皮素-3-新橙皮糖苷-7-鼠李糖苷与刺突蛋白受体结合结构域和3C样蛋白酶的结合亲和力分别预测为-8.5 kcal/mol和-8.8 kcal/mol。结论:对接研究表明,槲皮素3-O-阿拉伯糖苷7-O-鼠李糖苷与木瓜样蛋白酶具有最高的结合亲和力,槲皮素3-[鼠李糖基-(1->2)-α-L-阿拉伯吡喃糖苷]与刺突蛋白受体结合结构域具有最高的结合亲和力,槲皮素-3-新橙皮糖苷-7-鼠李糖苷与3C样蛋白酶具有最高的结合亲和力,并且在对复合物进行内部坐标的正常模式分析后,发现所有蛋白质-配体复合物都是稳定的。