Journal of Biomolecular Structure and Dynamics · 2018 · 90 citations · 47 references
PharmacyChemistryMedicinal ChemistryComputational ChemistryDrug DiscoveryStructure-activity RelationshipsLigand BindingMolecular DockingMolecular DynamicsMolecular ModelingMolecular Orbital TheoryProtein-ligand DockingAnticancer ActivityBinding Mode AnalysisBinding Mode PredictionDocking-based Drug DesignNatural Product Chemical DiversityPhenolic CompoundsQuantum Chemical DescriptorsQuantum Chemical Modeling
Natural products acquire massive structural and chemical diversity, which cannot be coordinated by any synthetic libraries for small molecules and they are continuing to inspire novel discoveries in health sciences. We have performed the computational calculations for geometry optimization and prediction of electronic and structural properties of some plant phenolic compounds through Gaussian 09 program. Energies of molecular orbitals were computed, to mimic out the stabilities arising from charge delocalization and intramolecular interactions. This process indicated the eventual charge transfer within the molecules. The molecular docking and ADMET properties of these compounds with a novel anticancer (HER2) and anti-inflammatory (COX-2) targets revealed that two molecules were capable of inhibiting both the targets, and could be used as multi target inhibitors. Furthermore, molecular dynamics simulation studies were performed to elucidate the binding mechanism and the comparison of inhibitor's binding mode with diverse biological activities as anticancer and anti-inflammatory agents. A high-quality association was reported among quantum chemical, ADMET, docking, dynamics and MMGBSA results. Communicated By Ramaswamy H. Sarma.
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Density-functional thermochemistry. III. The role of exact exchange
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