Kumar Nitish, Singh Atamjit, Gulati Harmandeep Kaur, Bhagat Kavita, Kaur Komalpreet, Kaur Jaspreet, Dudhal Shilpa, Duggal Amit, Gulati Puja, Singh Harbinder, Singh Jatinder Vir, Bedi Preet Mohinder Singh
Department of Pharmaceutical Sciences, Guru Nanak Dev University, Amritsar, Punjab, India, 143005.
Drug and Pollution testing Lab, Guru Nanak Dev University, Amritsar, Punjab, India, 143005.
Phytomed Plus. 2021 Nov;1(4):100083. doi: 10.1016/j.phyplu.2021.100083. Epub 2021 Jun 6.
Lack of treatment of novel Coronavirus disease led to the search of specific antivirals that are capable to inhibit the replication of the virus. The plant kingdom has demonstrated to be an important source of new molecules with antiviral potential.
The present study aims to utilize various computational tools to identify the most eligible drug candidate that have capabilities to halt the replication of SARS-COV-2 virus by inhibiting Main protease (Mpro) enzyme.
We have selected plants whose extracts have inhibitory potential against previously discovered coronaviruses. Their phytoconstituents were surveyed and a library of 100 molecules was prepared. Then, computational tools such as molecular docking, ADMET and molecular dynamic simulations were utilized to screen the compounds and evaluate them against Mpro enzyme.
All the phytoconstituents showed good binding affinities towards Mpro enzyme. Among them laurolitsine possesses the highest binding affinity i.e. -294.1533 kcal/mol. On ADMET analysis of best three ligands were simulated for 1.2 ns, then the stable ligand among them was further simulated for 20 ns. Results revealed that no conformational changes were observed in the laurolitsine w.r.t. protein residues and low RMSD value suggested that the Laurolitsine-protein complex was stable for 20 ns.
Laurolitsine, an active constituent of roots of , was found to be having good ADMET profile and have capabilities to halt the activity of the enzyme. Therefore, this makes laurolitsine a good drug candidate for the treatment of COVID-19.
新型冠状病毒病缺乏治疗方法,促使人们寻找能够抑制该病毒复制的特效抗病毒药物。植物界已被证明是具有抗病毒潜力的新分子的重要来源。
本研究旨在利用各种计算工具,确定最有资格的药物候选物,这些候选物能够通过抑制主要蛋白酶(Mpro)来阻止SARS-CoV-2病毒的复制。
我们选择了其提取物对先前发现的冠状病毒具有抑制潜力的植物。对其植物成分进行了调查,并制备了一个包含100种分子的文库。然后,利用分子对接、ADMET和分子动力学模拟等计算工具筛选这些化合物,并针对Mpro酶对它们进行评估。
所有植物成分对Mpro酶均表现出良好的结合亲和力。其中月桂木碱具有最高的结合亲和力,即-294.1533千卡/摩尔。对最佳的三种配体进行ADMET分析,模拟1.2纳秒,然后对其中稳定的配体进一步模拟20纳秒。结果显示,月桂木碱相对于蛋白质残基没有观察到构象变化,低均方根偏差值表明月桂木碱-蛋白质复合物在20纳秒内是稳定的。
月桂木碱是[植物名称]根的活性成分,被发现具有良好的ADMET特性,并有能力抑制该酶的活性。因此,这使得月桂木碱成为治疗COVID-19的良好药物候选物。