Computational design of medicinal compounds to inhibit RBD-hACE2 interaction in the Omicron variant: unveiling a vulnerable target site.

BA.2 MD simulation RBD SARS-CoV-2 Virtual screening hACE2

Journal

Informatics in medicine unlocked
ISSN: 2352-9148
Titre abrégé: Inform Med Unlocked
Pays: England
ID NLM: 101718051

Informations de publication

Date de publication:
2023
Historique:
received: 15 03 2023
revised: 22 05 2023
accepted: 22 05 2023
medline: 2 6 2023
pubmed: 2 6 2023
entrez: 2 6 2023
Statut: ppublish

Résumé

The COVID-19 pandemic, caused by SARS-CoV-2, has globally affected both human health and economy. Several variants with a high potential for reinfection and the ability to evade immunity were detected shortly after the initial reported case of COVID-19. A total of 30 mutations in the spike protein (S) have been reported in the SARS-CoV-2 (BA.2) variant in India and South Africa, while half of these mutations are in the receptor-binding domain and have spread rapidly throughout the world. Drug repurposing offers potential advantages over the discovery of novel drugs, and one is that it can be delivered quickly without lengthy assessments and time-consuming clinical trials. In this study, computational drug design, such as pharmacophore-based virtual screening and MD simulation has been concentrated, in order to find a novel small molecular inhibitor that prevents hACE2 from binding to the receptor binding domain (RBD). three medicinal compound databases: North-East African, North African, and East African were screened and carried out a multi-step screening approach that identified three compounds, which are thymoquinol 2-O-beta-glucopyranoside (C1), lanneaflavonol (C2), and naringenin-4'-methoxy-7-O-Alpha-L-rhamnoside (C3), with excellent anti-viral properties against the RBD of the omicron variant. Furthermore, PAIN assay interference, computation bioactivity prediction, binding free energy, and dissociation constant were used to validate the top hits, which indicated good antiviral activity. The three compounds that were found may be useful against COVID-19, though more research is required. These findings could aid the development of novel therapeutic drugs against the emerging Omicron variant of SARS-CoV-2.

Identifiants

pubmed: 37265644
doi: 10.1016/j.imu.2023.101281
pii: S2352-9148(23)00125-9
pmc: PMC10210851
doi:

Types de publication

Journal Article

Langues

eng

Pagination

101281

Informations de copyright

© 2023 Published by Elsevier Ltd.

Déclaration de conflit d'intérêts

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Références

Environ Res. 2022 Jun;209:112816
pubmed: 35093310
Microbiol Resour Announc. 2021 Dec 2;10(48):e0084921
pubmed: 34854726
Psychiatr Danub. 2020 Autumn - Winter;32(3-4):472-477
pubmed: 33370755
Psychiatr Danub. 2020 Summer;32(2):229-235
pubmed: 32796791
Sci Rep. 2021 Dec 15;11(1):24042
pubmed: 34911967
Int J Comput Biol Drug Des. 2011;4(4):373-86
pubmed: 22199037
J Chem Theory Comput. 2013 Sep 10;9(9):3878-88
pubmed: 26592383
J Chem Theory Comput. 2013 Jul 9;9(7):3084-95
pubmed: 26583988
Cell Stress. 2020 Mar 02;4(4):66-75
pubmed: 32292881
J Biomol Struct Dyn. 2021 Jun;39(9):3213-3224
pubmed: 32340562
Endocrine. 2022 Jan;75(1):19-21
pubmed: 34727295
Lancet. 2021 Dec 19;396(10267):1941
pubmed: 33341126
J Comput Chem. 2005 Dec;26(16):1668-88
pubmed: 16200636
J Med Chem. 2010 Apr 8;53(7):2719-40
pubmed: 20131845
Nature. 2021 May;593(7857):142-146
pubmed: 33780970
Sci Total Environ. 2020 Aug 15;730:138996
pubmed: 32371230
Annu Rev Virol. 2016 Sep 29;3(1):237-261
pubmed: 27578435
J Cheminform. 2015 Jun 19;7:29
pubmed: 26097510
Chembiochem. 2021 Aug 17;22(16):2641-2649
pubmed: 34160124
Microorganisms. 2021 May 12;9(5):
pubmed: 34065789
Microbiol Resour Announc. 2021 Jul 8;10(27):e0052421
pubmed: 34236224
Science. 2022 May 6;376(6593):eabn4947
pubmed: 35289632
RSC Adv. 2021 Sep 9;11(48):30132-30147
pubmed: 35480256
Nucleic Acids Res. 2019 Jul 2;47(W1):W636-W641
pubmed: 30976793
Nucleic Acids Res. 2015 Jul 1;43(W1):W174-81
pubmed: 25883148
Science. 2005 Sep 16;309(5742):1864-8
pubmed: 16166518
Curr Protoc Bioinformatics. 2014 Dec 12;48:3.13.1-3.13.16
pubmed: 25501942
Chem Rev. 2019 Aug 28;119(16):9478-9508
pubmed: 31244000
RSC Adv. 2022 Mar 4;12(12):7318-7327
pubmed: 35424688
Bioinformatics. 2016 Dec 1;32(23):3676-3678
pubmed: 27503228
Microbiol Resour Announc. 2020 Sep 24;9(39):
pubmed: 32972934
Interdiscip Sci. 2021 Sep;13(3):521-534
pubmed: 34324157
J Med Econ. 2022 Jan-Dec;25(1):1127-1139
pubmed: 36184797
Molecules. 2022 Nov 10;27(22):
pubmed: 36431833
J Med Virol. 2022 Jun;94(6):2376-2383
pubmed: 35118687
Bioinformatics. 2019 May 1;35(9):1585-1587
pubmed: 31051038

Auteurs

Muhammad Shahab (M)

State Key Laboratories of Chemical Resources Engineering, Beijing University of Chemical Technology, Beijing, 100029, China.

Shahina Akter (S)

Bangladesh Council of Scientific and Industrial Research (BCSIR), Dhaka, Bangladesh.

Md Murshed Hasan Sarkar (MMH)

Bangladesh Council of Scientific and Industrial Research (BCSIR), Dhaka, Bangladesh.

Tanjina Akhtar Banu (TA)

Bangladesh Council of Scientific and Industrial Research (BCSIR), Dhaka, Bangladesh.

Barna Goswami (B)

Bangladesh Council of Scientific and Industrial Research (BCSIR), Dhaka, Bangladesh.

Sanjana Fatema Chowdhury (SF)

Bangladesh Council of Scientific and Industrial Research (BCSIR), Dhaka, Bangladesh.

Showti Raheel Naser (SR)

Bangladesh Council of Scientific and Industrial Research (BCSIR), Dhaka, Bangladesh.

Md Ahashan Habib (MA)

Bangladesh Council of Scientific and Industrial Research (BCSIR), Dhaka, Bangladesh.

Aftab Ali Shaikh (AA)

Bangladesh Council of Scientific and Industrial Research (BCSIR), Dhaka, Bangladesh.

Morteza Saki (M)

Department of Microbiology, Faculty of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.

Guojun Zheng (G)

State Key Laboratories of Chemical Resources Engineering, Beijing University of Chemical Technology, Beijing, 100029, China.

Md Salim Khan (MS)

Bangladesh Council of Scientific and Industrial Research (BCSIR), Dhaka, Bangladesh.

Classifications MeSH