4.1 Article

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

期刊

JOURNAL OF BIOMEDICAL RESEARCH
卷 35, 期 6, 页码 459-473

出版社

NANJING MEDICAL UNIV
DOI: 10.7555/JBR.35.20210111

关键词

LASV infection; alpha-dystroglycan receptor; bioactive compounds; target specificity; molecular docking; molecular dynamic simulations

资金

  1. RPG Organization [05-060-06021, 082021/22]

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Lassa hemorrhagic fever, caused by Lassa mammarenavirus (LASV) infection, leads to up to 5000 deaths annually with no vaccine currently available. This study identified three bioactive compounds that can potentially block the entry of LASV into cells and demonstrated the best binding affinity through molecular docking and molecular dynamics simulation experiments. Real-time in vivo studies are ongoing to confirm the potential of these compounds as target-specific drugs.
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.

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