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pmid:34340125

Potential inhibitors of the main protease of SARS-CoV-2 and modulators of arachidonic acid pathway: Non-steroidal anti-inflammatory drugs against COVID-19.

Mohsen Sisakht · Aida Solhjoo · Amir Mahmoodzadeh · Mohammad Fathalipour · Maryam Kabiri · Amirhossein Sakhteman

Computers in biology and medicine · 2021 doi:10.1016/j.compbiomed.2021.104686

Paper

complete

Experiment

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Data

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Analysis

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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pmid:34340125
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science-record
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2026-11-01T15:41:46Z
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2026-11-01T21:25:57Z
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title
Potential inhibitors of the main protease of SARS-CoV-2 and modulators of arachidonic acid pathway: Non-steroidal anti-inflammatory drugs against COVID-19.
doi
10.1016/j.compbiomed.2021.104686
pmid
34340125
authors array · 6 items
[0]
Mohsen Sisakht
[1]
Aida Solhjoo
[2]
Amir Mahmoodzadeh
[3]
Mohammad Fathalipour
[4]
Maryam Kabiri
[5]
Amirhossein Sakhteman
journal
Computers in biology and medicine
year
2021
abstract
The main protease of SARS-CoV-2 is one of the key targets to develop and design antiviral drugs. There is no general agreement on the use of non-steroidal anti-inflammatory drugs (NSAIDs) in COVID-19. In this study, we investigated NSAIDs as potential inhibitors for chymotrypsin-like protease (3CLpro) and the main protease of the SARS-CoV-2 to find out the best candidates, which can act as potent inhibitors against the main protease. We also predicted the effect of NSAIDs on the arachidonic pathway and evaluated the hepatotoxicity of the compounds using systems biology techniques. Molecular docking was conducted via AutoDock Vina to estimate the interactions and binding affinities between selected NSAIDs and the main protease. Molecular docking results showed the presence of 10 NSAIDs based on lower binding energy (kcal/mol) toward the 3CLpro inhibition site compared to the co-crystal native ligand Inhibitor N3 (-6.6 kcal/mol). To validate the docking results, molecular dynamic (MD) simulations on the top inhibitor, Talniflumate, were performed. To obtain differentially-expressed genes under the 27 NSAIDs perturbations, we utilized the L1000 final Z-scores from the NCBI GEO repository (GSE92742). The obtained dataset included gene expression profiling signatures for 27 NSAIDs. The hepatotoxicity of NSAIDs was studied by systems biology modeling of Disturbed Metabolic Pathways. This study highlights the new application of NSAIDs as anti-viral drugs used against COVID-19. NSAIDs may also attenuate the cytokine storm through the downregulation of inflammatory mediators in the arachidonic acid pathway.
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Finally, we used the COBRApy package [34] to perform a flux variability analysis (FVA) to determine the distribution of fluxes for each reaction [35].
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sections[7] "Evaluation of hepatotoxicity of NSAIDs" paragraph 2
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Finally, we used the COBRApy package [34] to perform a flux variability analysis (FVA) to determine the distribution of fluxes for each reaction [35].
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To obtain differentially expressed genes under the 27 NSAIDs perturbations, we utilized the L1000 final Z-scores from the NCBI GEO repository (GSE92742).
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sections[5] "Gene expression analysis" paragraph 2
quote
To obtain differentially expressed genes under the 27 NSAIDs perturbations, we utilized the L1000 final Z-scores from the NCBI GEO repository (GSE92742).
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L1000 Connectivity Map perturbational profiles from Broad Institute LINCS Center for Transcriptomics LINCS Pilot PHASE I (n=1,319,138; updated March 03, 2017)
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Types of NSAID interactions with amino acids involved in enzyme catalysis (SARS-CoV-2 3CLpro).
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Gene expression analysis
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Types of NSAID interactions with amino acids involved in enzyme catalysis (SARS-CoV-2 3CLpro).
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N-HP
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N-π - π
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2
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1
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3
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3
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3
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[7]
0
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3058754
[1]
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8
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4
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[7]
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[6]
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[7]
0
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[1]
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0
[7]
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[7]
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[1]
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10
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2
[6]
0
[7]
0
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[1]
Oxaprozin
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−6.9
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13
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2
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0
[7]
0
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[1]
Phenacetin
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0
[7]
0
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Phenylbutazone
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0
[7]
0
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Rofecoxib
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−7
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−7.1
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14
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1
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0
[7]
0
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[0]
5280933
[1]
Gamma-linolenic acid
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16
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2
[6]
0
[7]
0
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54676228
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Piroxicam
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−7.7
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[5]
3
[6]
0
[7]
0
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54677470
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Meloxicam
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2
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0
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54677972
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−8.5
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[5]
3
[6]
0
[7]
1
[24] array · 8 items
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5509
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Tolmetin
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−6.2
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−6.4
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[5]
2
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0
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0
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6604822
[1]
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−6.1
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28
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1
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0
[7]
0
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0
[7]
0
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11
[5]
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[7]
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section[5]/table-wrap[1]#tbl1
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Binding free energy, electrostatic, and van der Waals energy of ligand.
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PMC8319042
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10
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Molecular dynamic simulation analysis
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Table 2
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Binding free energy, electrostatic, and van der Waals energy of ligand.
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Polar solvation energy
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[5]
110.7627 ± 6.025
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section[11]/table-wrap[1]#tbl3
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LINCS gene expression profiling signatures for 27 NSAIDs.
structure object · 5 fields
pmcid
PMC8319042
section_index
11
section_title
NSAIDs attenuate cytokine storm by downregulation of prostaglandin E synthase-1 microsomal
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28
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3
table object · 8 fields
label
Table 3
caption
LINCS gene expression profiling signatures for 27 NSAIDs.
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[1]
Compound
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LINCS gene expression profiling signatures
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[0]
1
[1]
Mofezolac
[2]
CPC012_PHH_24H:BRD-K49372556-001-01-7:10
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[0]
2
[1]
Etodolac
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CPC014_PHH_24H:BRD-K99260425-001-01-2:10
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[0]
3
[1]
Carprofen
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CPC015_PHH_24H:BRD-A17411484-001-05-1:10
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[0]
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[1]
Ketorolac
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CPC015_PHH_24H:BRD-A40639672-234-09-9:10
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[0]
5
[1]
Piroxicam
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CPC015_PHH_24H:BRD-A57382968-001-18-3:10
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[0]
6
[1]
Isoxicam
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CPC015_PHH_24H:BRD-A75552914-001-09-3:10
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[0]
7
[1]
Nefopam
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CPC015_PHH_24H:BRD-A78877355-001-02-2:10
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8
[1]
Meloxicam
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CPC015_PHH_24H:BRD-A84174393-236-03-0:10
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9
[1]
Ketoprofen
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CPC015_PHH_24H:BRD-A97739905-001-15-8:10
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[0]
10
[1]
Celecoxib
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CPC015_PHH_24H:BRD-K02637541-001-06-5:10
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11
[1]
Rofecoxib
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CPC015_PHH_24H:BRD-K21733600-001-06-7:10
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12
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Oxaprozin
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CPC015_PHH_24H:BRD-K25394294-001-08-1:10
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[0]
13
[1]
Phenacetin
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CPC015_PHH_24H:BRD-K38323065-001-09-0:10
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[0]
14
[1]
Phenazone
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CPC015_PHH_24H:BRD-K46937689-001-08-5:10
[15] array · 3 items
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15
[1]
Deracoxib
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CPC015_PHH_24H:BRD-K68558722-001-03-2:10
[16] array · 3 items
[0]
16
[1]
Tolmetin
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CPC015_PHH_24H:BRD-K82562631-236-03-8:10
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[0]
17
[1]
Naproxen
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CPC017_PHH_24H:BRD-A87719232-001-02-4:10
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[0]
18
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Talniflumate
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CPC017_PHH_24H:BRD-A98378129-001-01-4:10
[19] array · 3 items
[0]
19
[1]
Diclofenac
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CPC017_PHH_24H:BRD-K08252256-236-17-1:10
[20] array · 3 items
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20
[1]
AM-404
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[1]
DUP-697
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CPC018_PHH_24H:BRD-K06221026-001-03-5:10
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22
[1]
Phenylbutazone
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CPC018_PHH_24H:BRD-K10843433-001-12-8:10
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[1]
SC-560
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CPC018_PHH_24H:BRD-K14767410-001-01-5:10
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24
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Gamma-linolenic-acid
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CPC018_PHH_24H:BRD-K18059238-001-02-1:10
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[1]
Epirizole
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CPC018_PHH_24H:BRD-K39339537-001-03-8:10
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[0]
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[1]
Meclofenamic-acid
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CPC018_PHH_24H:BRD-K50398167-236-12-8:10
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27
[1]
Mefenamic-acid
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CPC018_PHH_24H:BRD-K92778217-001-17-8:10
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quote
Finally, we used the COBRApy package [34] to perform a flux variability analysis (FVA) to determine the distribution of fluxes for each reaction [35].
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To obtain differentially expressed genes under the 27 NSAIDs perturbations, we utilized the L1000 final Z-scores from the NCBI GEO repository (GSE92742).
basis
The paper names GSE92742 in NCBI GEO and the accession resolves in the repository. No dataset was downloaded and no licence was read.
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Complete file
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There is no general agreement on the use of non-steroidal anti-inflammatory drugs (NSAIDs) in COVID-19. In this study, we investigated NSAIDs as potential inhibitors for chymotrypsin-like protease (3CLpro) and the main protease of the SARS-CoV-2 to find out the best candidates, which can act as potent inhibitors against the main protease. We also predicted the effect of NSAIDs on the arachidonic pathway and evaluated the hepatotoxicity of the compounds using systems biology techniques. Molecular docking was conducted via AutoDock Vina to estimate the interactions and binding affinities between selected NSAIDs and the main protease. Molecular docking results showed the presence of 10 NSAIDs based on lower binding energy (kcal/mol) toward the 3CLpro inhibition site compared to the co-crystal native ligand Inhibitor N3 (-6.6 kcal/mol). To validate the docking results, molecular dynamic (MD) simulations on the top inhibitor, Talniflumate, were performed. To obtain differentially-expressed genes under the 27 NSAIDs perturbations, we utilized the L1000 final Z-scores from the NCBI GEO repository (GSE92742). The obtained dataset included gene expression profiling signatures for 27 NSAIDs. The hepatotoxicity of NSAIDs was studied by systems biology modeling of Disturbed Metabolic Pathways. This study highlights the new application of NSAIDs as anti-viral drugs used against COVID-19. 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