Current Drug Targets · 2014 · 36 citations · 22 references
PharmacyMedicinal ChemistryPharmacologyDrug DesignDrug DiscoveryStructure-activity RelationshipsLigand-based DesignMedicinal PlantsMolecular DockingQuantitative Structure-activity RelationshipsStructure-activity Relationship AnalysisVirtual ScreeningAntimalarial AgentsAntimalarial ChemotherapyAntimalarial Drug DevelopmentComputational Structure-activity ModelingConnectivity IndexDipole Moment DescriptorsDocking-based Drug DesignMolecular Docking Analysis
To screen the active antimalarial novel artemisinin derivatives, a QSAR modeling approach was used. QSAR model showed high correlation (r(2)= 0.83 and rCV(2)= 0.81) and indicated that Connectivity Index (order 1, standard), Connectivity Index (order 2, standard), Dipole Moment (debye), Dipole Vector X (debye) and LUMO Energy (eV) well correlate with activity. High binding likeness on antimalarial target plasmepsin was detected through molecular docking. Active artemisinin derivatives showed significant activity and indicated compliance with standard parameters of oral bioavailability and ADMET. The active artemisinin derivatives namely, β-Artecyclopropylmether HMCP (A3), β- Artepipernoylether (PIP-1) (A4) and 9-(β-Dihydroartemisinoxy)methyl anthracene (A5) were semi-synthesized and characterized based on its (1)H and (13)C NMR spectroscopic data and later activity tested in vivo on mice infected with multidrug resistant strain of P. yoelii nigeriensis. Predicted results were successfully validated by in vivo experiments.
22
Genome sequence of the human malaria parasite Plasmodium falciparum
Malcolm J. Gardner, Neil Hall, Eula Fung et al. · Nature · 2002 · 4.5K citations · Full text
Gary H. Posner, Sheldon B. Park, Lluı̈sa González et al. · Journal of the American Chemical Society · 1996 · 92 citations