» Articles » PMID: 33406222

Exploration of Natural Compounds with Anti-SARS-CoV-2 Activity Via Inhibition of SARS-CoV-2 Mpro

Overview
Journal Brief Bioinform
Specialty Biology
Date 2021 Jan 6
PMID 33406222
Citations 64
Authors
Affiliations
Soon will be listed here.
Abstract

Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is a dreaded pandemic in lack of specific therapeutic agent. SARS-CoV-2 Mpro, an essential factor in viral pathogenesis, is recognized as a prospective therapeutic target in drug discovery against SARS-CoV-2. To tackle this pandemic, Food and Drug Administration-approved drugs are being screened against SARS-CoV-2 Mpro via in silico and in vitro methods to detect the best conceivable drug candidates. However, identification of natural compounds with anti-SARS-CoV-2 Mpro potential have been recommended as rapid and effective alternative for anti-SARS-CoV-2 therapeutic development. Thereof, a total of 653 natural compounds were identified against SARS-CoV-2 Mpro from NP-lib database at MTi-OpenScreen webserver using virtual screening approach. Subsequently, top four potential compounds, i.e. 2,3-Dihydroamentoflavone (ZINC000043552589), Podocarpusflavon-B (ZINC000003594862), Rutin (ZINC000003947429) and Quercimeritrin 6"-O-L-arabinopyranoside (ZINC000070691536), and co-crystallized N3 inhibitor as reference ligand were considered for stringent molecular docking after geometry optimization by DFT method. Each compound exhibited substantial docking energy >-12 kcal/mol and molecular contacts with essential residues, including catalytic dyad (His41 and Cys145) and substrate binding residues, in the active pocket of SARS-CoV-2 Mpro against N3 inhibitor. The screened compounds were further scrutinized via absorption, distribution, metabolism, and excretion - toxicity (ADMET), quantum chemical calculations, combinatorial molecular simulations and hybrid QM/MM approaches. Convincingly, collected results support the potent compounds for druglikeness and strong binding affinity with the catalytic pocket of SARS-CoV-2 Mpro. Hence, selected compounds are advocated as potential inhibitors of SARS-CoV-2 Mpro and can be utilized in drug development against SARS-CoV-2 infection.

Citing Articles

In-silico evaluation of diffractaic acid as novel anti-diabetic inhibitor against dipeptidyl peptidase IV enzyme.

Roney M, Issahaku A, Dubey A, Tufail A, Hamim S, Wilhelm A In Silico Pharmacol. 2025; 13(1):24.

PMID: 39944121 PMC: 11811373. DOI: 10.1007/s40203-025-00321-9.


Investigating new drugs from marine seaweed metabolites for cervical cancer therapy by molecular dynamic modeling approach.

Islam S, Ahmed S, Mahfuj S, Das G, Tareq M, Almehmadi M Sci Rep. 2025; 15(1):3866.

PMID: 39890793 PMC: 11785738. DOI: 10.1038/s41598-024-82043-0.


Boosting the catalytic efficiency of UGT51 for efficient production of rare ginsenoside Rh2.

Ali M, Abdalla M, Roumia A, Tammam M, Ramadan M, Edrees M Folia Microbiol (Praha). 2025; .

PMID: 39841376 DOI: 10.1007/s12223-025-01241-z.


Targeting necroptosis in MCF-7 breast cancer cells: In Silico insights into 8,12-dimethoxysanguinarine from Eomecon Chionantha through molecular docking, dynamics, DFT, and MEP studies.

Alhawarri M, Al-Thiabat M, Dubey A, Tufail A, Banisalman K, Al Jabal G PLoS One. 2025; 20(1):e0313094.

PMID: 39775383 PMC: 11706375. DOI: 10.1371/journal.pone.0313094.


Virtual screening and molecular dynamics studies of novel small molecules targeting DHODH: identification of potential inhibitors.

Jaafaru S, Uzairu A, Mishra V, Sallau M, Ibrahim M, Dubey A In Silico Pharmacol. 2024; 12(2):113.

PMID: 39620199 PMC: 11602894. DOI: 10.1007/s40203-024-00281-6.


References
1.
Dwivedi V, Arya A, Yadav P, Kumar R, Kumar V, Raghava G . DenvInD: dengue virus inhibitors database for clinical and molecular research. Brief Bioinform. 2020; 22(3). DOI: 10.1093/bib/bbaa098. View

2.
Xian Y, Zhang J, Bian Z, Zhou H, Zhang Z, Lin Z . Bioactive natural compounds against human coronaviruses: a review and perspective. Acta Pharm Sin B. 2020; 10(7):1163-1174. PMC: 7278644. DOI: 10.1016/j.apsb.2020.06.002. View

3.
Trott O, Olson A . AutoDock Vina: improving the speed and accuracy of docking with a new scoring function, efficient optimization, and multithreading. J Comput Chem. 2009; 31(2):455-61. PMC: 3041641. DOI: 10.1002/jcc.21334. View

4.
Senn H, Thiel W . QM/MM methods for biomolecular systems. Angew Chem Int Ed Engl. 2009; 48(7):1198-229. DOI: 10.1002/anie.200802019. View

5.
Karabacak M, Sinha L, Prasad O, Cinar Z, Cinar M . The spectroscopic (FT-Raman, FT-IR, UV and NMR), molecular electrostatic potential, polarizability and hyperpolarizability, NBO and HOMO-LUMO analysis of monomeric and dimeric structures of 4-chloro-3,5-dinitrobenzoic acid. Spectrochim Acta A Mol Biomol Spectrosc. 2012; 93:33-46. DOI: 10.1016/j.saa.2012.02.110. View