Macrolactin A as a Novel Inhibitory Agent for SARS-CoV-2 Mpro: Bioinformatics Approach

被引:27
|
作者
Bharadwaj, Kaushik Kumar [1 ]
Sarkar, Tanmay [2 ,3 ]
Ghosh, Arabinda [4 ]
Baishya, Debabrat [1 ]
Rabha, Bijuli [1 ]
Panda, Manasa Kumar [5 ]
Nelson, Bryan Raveen [6 ,7 ]
John, Akbar B. [8 ]
Sheikh, Hassan, I [9 ]
Dash, Bisnu Prasad [10 ]
Edinur, Hisham Atan [11 ]
Pati, Siddhartha [7 ,12 ]
机构
[1] Gauhati Univ, Dept Bioengn & Technol, Gauhati 781014, Assam, India
[2] Govt West Bengal, West Bengal State Council Tech Educ, Malda Polytech, Malda 732102, W Bengal, India
[3] Jadavpur Univ, Dept Food Technol & Biochem Engn, Kolkata 700038, W Bengal, India
[4] Gauhati Univ, Dept Bot, Microbiol Div, Gauhati 781014, Assam, India
[5] CSIR Inst Minerals & Mat Technol, Environm & Sustainabil Dept, Bhubaneswar 751013, India
[6] Univ Malaysia Terengganu, Inst Trop Biodivers & Sustainable Dev, Terengganu 21030, Malaysia
[7] Assoc Biodivers Conservat & Res, Res Div, Balasore 756001, Odisha, India
[8] Int Islamic Univ Malaysia IIUM, INOCEM Res Stn, Kulliyyah Sci, Kuantan 25200, Pahang, Malaysia
[9] Univ Malaysia Terengganu, Fac Fisheries & Food Sci, Terengganu 21030, Malaysia
[10] Fakir Mohan Univ, Dept Biosci & Biotechnol, Balasore 756089, India
[11] Univ Sains Malaysia, Sch Hlth Sci, Forens Sci Programme, Hlth Campus, Kubang Kerian 16150, Kelantan, Malaysia
[12] Khallikote Univ, Ctr Excellence OHEPEE, Ganjam 761008, Odisha, India
关键词
Coronavirus; Treatment; Molecular docking; MD simulation; ADMET; MM; GBSA; BIOLOGICAL-ACTIVITY; DRUG SOLUBILITY; ANTIBACTERIAL; PREDICTION; DISCOVERY; SIMULATIONS; DOCKING;
D O I
10.1007/s12010-021-03608-7
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
COVID-19 is a disease that puts most of the world on lockdown and the search for therapeutic drugs is still ongoing. Therefore, this study used in silico screening to identify natural bioactive compounds from fruits, herbaceous plants, and marine invertebrates that are able to inhibit protease activity in SARS-CoV-2 (PDB: 6LU7). We have used extensive screening strategies such as drug likeliness, antiviral activity value prediction, molecular docking, ADME, molecular dynamics (MD) simulation, and MM/GBSA. A total of 17 compounds were shortlisted using Lipinski's rule in which 5 compounds showed significant predicted antiviral activity values. Among these 5, only 2 compounds, Macrolactin A and Stachyflin, showed good binding energy of -9.22 and -8.00 kcal/mol, respectively, within the binding pocket of the M-pro catalytic residues (HIS 41 and CYS 145). These two compounds were further analyzed to determine their ADME properties. The ADME evaluation of these 2 compounds suggested that they could be effective in developing therapeutic drugs to be used in clinical trials. MD simulations showed that protein-ligand complexes of Macrolactin A and Stachyflin with the target receptor (6LU7) were stable for 100 nanoseconds. The MM/GBSA calculations of M-pro-Macrolactin A complex indicated higher binding free energy (-42.58 +/- 6.35 kcal/mol). Dynamic cross-correlation matrix (DCCM) and principal component analysis (PCA) on the residual movement in the MD trajectories further confirmed the stability of Macrolactin A bound state with 6LU7. In conclusion, this study showed that marine natural compound Macrolactin A could be an effective therapeutic inhibitor against SARS-CoV-2 protease (6LU7). Additional in vitro and in vivo validations are strongly needed to determine the efficacy and therapeutic dose of Macrolactin A in biological systems.
引用
收藏
页码:3371 / 3394
页数:24
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