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Tytuł pozycji:

In silico drug discovery of major metabolites from spices as SARS-CoV-2 main protease inhibitors.

Tytuł:
In silico drug discovery of major metabolites from spices as SARS-CoV-2 main protease inhibitors.
Autorzy:
Ibrahim MAA; Computational Chemistry Laboratory, Chemistry Department, Faculty of Science, Minia University, Minia, 61519, Egypt. Electronic address: .
Abdelrahman AHM; Computational Chemistry Laboratory, Chemistry Department, Faculty of Science, Minia University, Minia, 61519, Egypt.
Hussien TA; Pharmacognosy Department, Faculty of Pharmacy, Deraya University, Minia, Egypt.
Badr EAA; Computational Chemistry Laboratory, Chemistry Department, Faculty of Science, Minia University, Minia, 61519, Egypt.
Mohamed TA; Chemistry of Medicinal Plants Department, National Research Centre, 33 El-Bohouth St., Dokki, Giza, 12622, Egypt.
El-Seedi HR; Department of Molecular Biosciences, The Wenner-Gren Institute, Stockholm University, S-106 91, Stockholm, Sweden; International Research Center for Food Nutrition and Safety, Jiangsu University, Zhenjiang, 212013, China.
Pare PW; Department of Chemistry & Biochemistry Texas Tech University, Lubbock, TX, 79409 USA.
Efferth T; Department of Pharmaceutical Biology, Institute of Pharmaceutical and Biomedical Sciences, Johannes Gutenberg University, Staudinger Weg 5, 55128, Mainz, Germany.
Hegazy MF; Chemistry of Medicinal Plants Department, National Research Centre, 33 El-Bohouth St., Dokki, Giza, 12622, Egypt; Department of Pharmaceutical Biology, Institute of Pharmaceutical and Biomedical Sciences, Johannes Gutenberg University, Staudinger Weg 5, 55128, Mainz, Germany. Electronic address: .
Źródło:
Computers in biology and medicine [Comput Biol Med] 2020 Nov; Vol. 126, pp. 104046. Date of Electronic Publication: 2020 Oct 08.
Typ publikacji:
Journal Article
Język:
English
Imprint Name(s):
Publication: New York : Elsevier
Original Publication: New York, Pergamon Press.
MeSH Terms:
Cysteine Endopeptidases*/chemistry
Drug Discovery*
Molecular Docking Simulation*
Molecular Dynamics Simulation*
Viral Nonstructural Proteins*/antagonists & inhibitors
Viral Nonstructural Proteins*/chemistry
Betacoronavirus/*enzymology
Caffeic Acids/*chemistry
Coronavirus Infections/*drug therapy
Curcumin/*chemistry
Lactates/*chemistry
Pneumonia, Viral/*drug therapy
Protease Inhibitors/*chemistry
COVID-19 ; Caffeic Acids/therapeutic use ; Coronavirus 3C Proteases ; Coronavirus Infections/enzymology ; Curcumin/therapeutic use ; Humans ; Lactates/therapeutic use ; Pandemics ; Pneumonia, Viral/enzymology ; Protease Inhibitors/therapeutic use ; SARS-CoV-2 ; Thermodynamics
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Contributed Indexing:
Keywords: Molecular docking; Molecular dynamics; SARS-CoV-2 main protease; Secondary metabolites; Spices
Substance Nomenclature:
0 (Caffeic Acids)
0 (Lactates)
0 (Protease Inhibitors)
0 (Viral Nonstructural Proteins)
51622542XO (salvianolic acid A)
EC 3.4.22.- (Cysteine Endopeptidases)
EC 3.4.22.28 (Coronavirus 3C Proteases)
IT942ZTH98 (Curcumin)
Entry Date(s):
Date Created: 20201016 Date Completed: 20201116 Latest Revision: 20210110
Update Code:
20240105
PubMed Central ID:
PMC7543985
DOI:
10.1016/j.compbiomed.2020.104046
PMID:
33065388
Czasopismo naukowe
Coronavirus Disease 2019 (COVID-19) is an infectious illness caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), originally identified in Wuhan, China (December 2019) and has since expanded into a pandemic. Here, we investigate metabolites present in several common spices as possible inhibitors of COVID-19. Specifically, 32 compounds isolated from 14 cooking seasonings were examined as inhibitors for SARS-CoV-2 main protease (M pro ), which is required for viral multiplication. Using a drug discovery approach to identify possible antiviral leads, in silico molecular docking studies were performed. Docking calculations revealed a high potency of salvianolic acid A and curcumin as M pro inhibitors with binding energies of -9.7 and -9.2 kcal/mol, respectively. Binding mode analysis demonstrated the ability of salvianolic acid A and curcumin to form nine and six hydrogen bonds, respectively with amino acids proximal to M pro 's active site. Stabilities and binding affinities of the two identified natural spices were calculated over 40 ns molecular dynamics simulations and compared to an antiviral protease inhibitor (lopinavir). Molecular mechanics-generalized Born surface area energy calculations revealed greater salvianolic acid A affinity for the enzyme over curcumin and lopinavir with energies of -44.8, -34.2 and -34.8 kcal/mol, respectively. Using a STRING database, protein-protein interactions were identified for salvianolic acid A included the biochemical signaling genes ACE, MAPK14 and ESR1; and for curcumin, EGFR and TNF. This study establishes salvianolic acid A as an in silico natural product inhibitor against the SARS-CoV-2 main protease and provides a promising inhibitor lead for in vitro enzyme testing.
(Copyright © 2020. Published by Elsevier Ltd.)

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