DFT, molecular docking and molecular dynamics simulation studies on some newly introduced natural products for their potential use against SARS-CoV-2.

COVID-19 DFT Drug-likeness analysis Molecular docking Molecular dynamics simulation SARS-CoV-2 main protease

Journal

Journal of molecular structure
ISSN: 0022-2860
Titre abrégé: J Mol Struct
Pays: Netherlands
ID NLM: 0141747

Informations de publication

Date de publication:
15 Oct 2021
Historique:
received: 09 03 2021
revised: 27 04 2021
accepted: 14 05 2021
pubmed: 1 6 2021
medline: 1 6 2021
entrez: 31 5 2021
Statut: ppublish

Résumé

Throughout the history, natural products always give new paths to develop new drugs. As with many other diseases, natural compounds can be helpful in the treatment of COVID-19. SARS-CoV-2 main protease enzyme has an important role in viral replication and transcription. Therefore, inhibiting this enzyme may be helpful in the treatment of COVID-19. In this study, it is aimed to investigate eight natural compounds which have recently entered the literature, computationally for their potential use against SARS-CoV-2. For this purpose, first, density functional theory (DFT) calculations were performed on the investigated compounds, and energy minimizations, geometry optimizations, vibrational analyses, molecular electrostatic potential map calculations were carried out. After DFT calculations, geometry optimized structures were subjected to molecular docking calculations with the use of SARS-CoV-2 main protease (pdb id: 5r80) and top-scoring ligand-receptor complexes were obtained. In the next part of the study, molecular dynamics (MD) simulations were performed on the top-scoring ligand-receptor complexes to investigate the stability of the ligand-receptor complexes and the interactions between ligands and receptor in more detail. Additionally, in this part of the study, binding free energies are calculated with the use of molecular mechanics with Poisson-Boltzmann surface area (MM-PBSA) method. Results showed that, all ligand-receptor complexes remain stable during the MD simulations and most of the investigated compounds but especially two of them showed considerably high binding affinity to SARS-CoV-2 main protease. Finally, in the study, ADME (adsorption, desorption, metabolism, excretion) predictions and drug-likeness analyses were performed on the investigated compounds.

Identifiants

pubmed: 34054142
doi: 10.1016/j.molstruc.2021.130733
pii: S0022-2860(21)00866-8
pmc: PMC8140653
doi:

Types de publication

Journal Article

Langues

eng

Pagination

130733

Informations de copyright

© 2021 Elsevier B.V. All rights reserved.

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.

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Auteurs

Taner Erdogan (T)

Dept. of Chemistry and Chemical Processing Tech, Kocaeli Vocat. Sch. Kocaeli University, Kocaeli, Turkey.

Classifications MeSH