Cheminformatics approach to identify andrographolide derivatives as dual inhibitors of methyltransferases (nsp14 and nsp16) of SARS-CoV-2.
Diterpenes
/ pharmacology
SARS-CoV-2
/ drug effects
Molecular Docking Simulation
Molecular Dynamics Simulation
Methyltransferases
/ antagonists & inhibitors
Antiviral Agents
/ pharmacology
Humans
Viral Nonstructural Proteins
/ antagonists & inhibitors
Cheminformatics
/ methods
COVID-19
/ virology
Enzyme Inhibitors
/ chemistry
COVID-19 Drug Treatment
Andrographolide
Covid-19
Drug discovery
Natural compounds
nsp14
nsp16
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
29 04 2024
29 04 2024
Historique:
received:
22
12
2023
accepted:
01
04
2024
medline:
30
4
2024
pubmed:
30
4
2024
entrez:
29
4
2024
Statut:
epublish
Résumé
The Covid-19 pandemic outbreak has accelerated tremendous efforts to discover a therapeutic strategy that targets severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) to control viral infection. Various viral proteins have been identified as potential drug targets, however, to date, no specific therapeutic cure is available against the SARS-CoV-2. To address this issue, the present work reports a systematic cheminformatic approach to identify the potent andrographolide derivatives that can target methyltransferases of SARS-CoV-2, i.e. nsp14 and nsp16 which are crucial for the replication of the virus and host immune evasion. A consensus of cheminformatics methodologies including virtual screening, molecular docking, ADMET profiling, molecular dynamics simulations, free-energy landscape analysis, molecular mechanics generalized born surface area (MM-GBSA), and density functional theory (DFT) was utilized. Our study reveals two new andrographolide derivatives (PubChem CID: 2734589 and 138968421) as natural bioactive molecules that can form stable complexes with both proteins via hydrophobic interactions, hydrogen bonds and electrostatic interactions. The toxicity analysis predicts class four toxicity for both compounds with LD
Identifiants
pubmed: 38684706
doi: 10.1038/s41598-024-58532-7
pii: 10.1038/s41598-024-58532-7
doi:
Substances chimiques
Diterpenes
0
andrographolide
410105JHGR
Methyltransferases
EC 2.1.1.-
Antiviral Agents
0
Viral Nonstructural Proteins
0
NSP16 protein, SARS-CoV-2
0
Enzyme Inhibitors
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
9801Informations de copyright
© 2024. The Author(s).
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