4.6 Article

Pharmacophore model-aided virtual screening combined with comparative molecular docking and molecular dynamics for identification of marine natural products as SARS-CoV-2 papain-like protease inhibitors

Journal

ARABIAN JOURNAL OF CHEMISTRY
Volume 15, Issue 12, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.arabjc.2022.104334

Keywords

Consensus scoring; Marine natural products; Molecular docking; Molecular dynamics; Pharmacophore model; SARS-CoV-2 PLpro

Funding

  1. Deanship of Scientific Research, Jazan University
  2. [CoV19-24]

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Targeting the SARS-CoV-2 papain-like protease with inhibitors is an effective approach. By using a structure-based pharmacophore model and molecular docking screening, a potential PLpro inhibitor, aspergillipeptide F, was discovered. It exhibits favorable binding interactions with PLpro and demonstrates a stable conformation.
Targeting SARS-CoV-2 papain-like protease using inhibitors is a suitable approach for inhibition of virus replication and dysregulation of host anti-viral immunity. Engaging all five bind-ing sites far from the catalytic site of PLpro is essential for developing a potent inhibitor. We devel-oped and validated a structure-based pharmacophore model with 9 features of a potent PLpro inhibitor. The pharmacophore model-aided virtual screening of the comprehensive marine natural product database predicted 66 initial hits. This hit library was downsized by filtration through a molecular weight filter of < 500 g/mol. The 50 resultant hits were screened by comparative molec-ular docking using AutoDock and AutoDock Vina. Comparative molecular docking enables bench -marking docking and relieves the disparities in the search and scoring functions of docking engines. Both docking engines retrieved 3 same compounds at different positions in the top 1 % rank, hence consensus scoring was applied, through which CMNPD28766, aspergillipeptide F emerged as the best PLpro inhibitor. Aspergillipeptide F topped the 50-hit library with a pharmacophore-fit score of 75.916. Favorable binding interactions were predicted between aspergillipeptide F and PLpro similar to the native ligand XR8-24. Aspergillipeptide F was able to engage all the 5 binding sites including the newly discovered BL2 groove, site V. Molecular dynamics for quantification of Ca -atom movements of PLpro after ligand binding indicated that it exhibits highly correlated domain movements contributing to the low free energy of binding and a stable conformation. Thus, aspergillipeptide F is a promising candidate for pharmaceutical and clinical development as a potent SARS-CoV-2 PLpro inhibitor.(c) 2022 The Author(s). Published by Elsevier B.V. on behalf of King Saud University. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

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