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

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

Journal

Journal of biomedical research
ISSN: 1674-8301
Titre abrégé: J Biomed Res
Pays: China
ID NLM: 101551157

Informations de publication

Date de publication:
06 Nov 2021
Historique:
entrez: 3 12 2021
pubmed: 4 12 2021
medline: 4 12 2021
Statut: ppublish

Résumé

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 α-dystroglycan (α-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 α-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

Identifiants

pubmed: 34857680
doi: 10.7555/JBR.35.20210111
pmc: PMC8637655
doi:

Types de publication

Journal Article

Langues

eng

Pagination

459-473

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Auteurs

Adittya Arefin (A)

Wolfson Institute for Biomedical Research, Division of Medicine, University College London, London WC1E6AE, UK.

Tanzila Ismail Ema (T)

Department of Biochemistry and Microbiology, North South University, Dhaka 1229, Bangladesh.

Tamnia Islam (T)

Wolfson Institute for Biomedical Research, Division of Medicine, University College London, London WC1E6AE, UK.

Saddam Hossen (S)

Faculty of Life Sciences and Medicine, Zhejiang Sci-Tech University, Hangzhou, Zhejiang 310018, China.

Tariqul Islam (T)

Faculty of Pharmacy, International Islamic University Malaysia, Kuantan, Pahang 25200, Malaysia.

Salauddin Al Azad (S)

School of Biotechnology, Jiangnan University, Wuxi, Jiangsu 214122, China.

Nasir Uddin Badal (N)

Department of Biomedical Technology, Tampere University, Tampere 33014, Finland.

Aminul Islam (A)

Department of Genetic Engineering and Biotechnology, Jashore University of Science and Technology, Jashore 7408, Bangladesh.

Partha Biswas (P)

Department of Genetic Engineering and Biotechnology, Jashore University of Science and Technology, Jashore 7408, Bangladesh.

Nafee Ul Alam (NU)

Faculty of Life Sciences and Medicine, Zhejiang Sci-Tech University, Hangzhou, Zhejiang 310018, China.

Enayetul Islam (E)

Department of Genetic Engineering and Biotechnology, University of Chittagong, Chittagong 4331, Bangladesh.

Maliha Anjum (M)

Department of Genetic Engineering and Biotechnology, Jashore University of Science and Technology, Jashore 7408, Bangladesh.

Afsana Masud (A)

Department of Biochemistry and Microbiology, North South University, Dhaka 1229, Bangladesh.

Shaikh Kamran (S)

Applied Statistics and Data Science, Jahangirnagar University, Dhaka 1342, Bangladesh.

Ahsab Rahman (A)

Department of Mathematics and Natural Sciences, Brac University, Dhaka 1212, Bangladesh.

Parag Kumar Paul (P)

Department of Electrical and Electronic Engineering, United International University, Dhaka 1212, Bangladesh.

Classifications MeSH