Target specificity of selective bioactive compounds in blocking α-dystroglycan receptor to suppress Lassa virus infection: an in silico approach

被引:36
作者
Arefin, Adittya [1 ]
Ema, Tanzila Ismail [2 ]
Islam, Tamnia [1 ]
Hossen, Md Saddam [3 ]
Islam, Tariqul [4 ]
Al Azad, Salauddin [5 ]
Badal, Md Nasir Uddin [6 ]
Islam, Md Aminul [7 ]
Biswas, Partha [7 ]
Ul Alam, Nafee [3 ]
Islam, Enayetul [8 ]
Anjum, Maliha [7 ]
Masud, Afsana [2 ]
Kamran, Md Shaikh [9 ]
Rahman, Ahsab [10 ]
Paul, Parag Kumar [11 ]
机构
[1] UCL, Wolfson Inst Biomed Res, Div Med, London WC1E 6AE, England
[2] North South Univ, Dept Biochem & Microbiol, Dhaka 1229, Bangladesh
[3] Zhejiang Sci Tech Univ, Fac Life Sci & Med, Hangzhou 310018, Zhejiang, Peoples R China
[4] Int Islamic Univ Malaysia, Fac Pharm, Kuantan 25200, Pahang, Malaysia
[5] Jiangnan Univ, Sch Biotechnol, 1800 Lihu Ave, Wuxi 214122, Jiangsu, Peoples R China
[6] Tampere Univ, Dept Biomed Technol, Tampere 33014, Finland
[7] Jashore Univ Sci & Technol, Dept Genet Engn & Biotechnol, Jashore 7408, Bangladesh
[8] Univ Chittagong, Dept Genet Engn & Biotechnol, Chittagong 4331, Bangladesh
[9] Jahangirnagar Univ, Appl Stat & Data Sci, Dhaka 1342, Bangladesh
[10] Brac Univ, Dept Math & Nat Sci, Dhaka 1212, Bangladesh
[11] United Int Univ, Dept Elect & Elect Engn, Dhaka 1212, Bangladesh
关键词
LASV infection; alpha-dystroglycan receptor; bioactive compounds; target specificity; molecular docking; molecular dynamic simulations; INOSINE MONOPHOSPHATE DEHYDROGENASE; CELL ENTRY; OPTIMIZATION; MECHANISM; RIBAVIRIN; LIGANDS; DOCKING; TOOL;
D O I
10.7555/JBR.35.20210111
中图分类号
R-3 [医学研究方法]; R3 [基础医学];
学科分类号
1001 ;
摘要
Lassa hemorrhagic fever, caused by Lassa mammarenavirus (LASV) infection, accumulates up to 5000 deaths every year. Currently, there is no vaccine available to combat this disease. In this study, a library of 200 bioactive compounds was virtually screened to study their drug-likeness with the capacity to block the alpha-dystroglycan (alpha DG) receptor and prevent LASV influx. Following rigorous absorption, distribution, metabolism, and excretion (ADME) and quantitative structure-activity relationship (QSAR) profiling, molecular docking was conducted with the top ligands against the alpha-DG receptor. The compounds chrysin, reticuline, and 3-caffeoylshikimic acid emerged as the top three ligands in terms of binding affinity. Post-docking analysis revealed that interactions with Arg76, Asn224, Ser259, and Lys302 amino acid residues of the receptor protein were important for the optimum binding affinity of ligands. Molecular dynamics simulation was performed comprehensively to study the stability of the protein-ligand complexes. In-depth assessment of root-mean-square deviation (RMSD), root mean square fluctuation (RMSF), polar surface area (PSA), B-Factor, radius of gyration (Rg), solvent accessible surface area (SASA), and molecular surface area (MolSA) values of the protein-ligand complexes affirmed that the candidates with the best binding affinity formed the most stable protein-ligand complexes. To authenticate the potentialities of the ligands as target-specific drugs, an in vivo study is underway in real time as the continuation of the research.
引用
收藏
页码:459 / 473
页数:16
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