Molecules · 2021 · 48 citations · 33 references
PharmacyMedicinal ChemistryPharmacologyDrug DesignDrug DiscoveryStructure-activity RelationshipsEnzyme InhibitionMolecular DockingNatural Product Drug DiscoveryNatural Product-based Drug DesignQuantitative Structure-activity RelationshipsStructure-activity Relationship AnalysisMedicinal Chemistry ApplicationsMolecular Docking AnalysisMolecular Docking Of InhibitorsMolecular Docking OptimizationProtease InhibitorsSecondary MetabolitesStructure - Activity Relationship OptimizationTerpenoid Profiling
This study aims to identify and isolate the secondary metabolites of Zingiber officinale using GC-MS, preparative TLC, and LC-MS/MS methods, to evaluate the inhibitory potency on SARS-CoV-2 3 chymotrypsin-like protease enzyme, as well as to study the molecular interaction and stability by using docking and molecular dynamics simulations. GC-MS analysis suggested for the isolation of terpenoids compounds as major compounds on methanol extract of pseudostems and rhizomes. Isolation and LC-MS/MS analysis identified 5-hydro-7, 8, 2′-trimethoxyflavanone (9), (E)-hexadecyl-ferulate (1), isocyperol (2), N-isobutyl-(2E,4E)-octadecadienamide (3), and nootkatone (4) from the rhizome extract, as well as from the leaves extract with the absence of 9. Three known steroid compounds, i.e., spinasterone (7), spinasterol (8), and 24-methylcholesta-7-en-3β-on (6), were further identified from the pseudostem extract. Molecular docking showed that steroids compounds 7, 8, and 6 have lower predictive binding energies (MMGBSA) than other metabolites with binding energy of −87.91, −78.11, and −68.80 kcal/mole, respectively. Further characterization on the single isolated compound by NMR showed that 6 was identified and possessed 75% inhibitory activity on SARS-CoV-2 3CL protease enzyme that was slightly different with the positive control GC376 (77%). MD simulations showed the complex stability with compound 6 during 100 ns simulation time.
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A Historical Overview of Natural Products in Drug Discovery
Daniel A. Dias, Sylvia Urban, Ute Roessner · Metabolites · 2012 · 1.9K citations · Full text