Search results for "3D-QSAR APPROACH"

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IKK-β inhibitors: An analysis of drug–receptor interaction by using Molecular Docking and Pharmacophore 3D-QSAR approaches

2010

Abstract The IKK kinases family represents a thrilling area of research because of its importance in regulating the activity of NF-kB transcription factors. The discovery of the central role played by IKK-β in the activation of transcription in response to apoptotic or inflammatory stimuli allowed to considerate its modulation as a promising tool for the treatment of chronic inflammation and cancer. To date, several IKK-β inhibitors have been discovered and tested. In this work, an analysis of the interactions between different classes of inhibitors and their biological target was performed, through the application of Molecular Docking and Pharmacophore/3D-QSAR approaches to a set of 141 in…

Models MolecularQuantitative structure–activity relationshipReceptors DrugMolecular Sequence DataQuantitative Structure-Activity RelationshipIκB kinaseComputational biologyPharmacologyBiologyMaterials ChemistryHumansAmino Acid SequenceNF-kBHomology modelingPhysical and Theoretical ChemistryProtein Kinase InhibitorsTranscription factorSpectroscopyIKK-betaIKK-beta inhibitors Molecular Docking Pharmacophore 3D-QSAR approachesBinding SitesPharmacophoreKinaseHomology modelingSettore CHIM/08 - Chimica FarmaceuticaComputer Graphics and Computer-Aided DesignI-kappa B KinaseMolecular DockingStructural Homology ProteinBiological targetDrug receptorPharmacophoreJournal of Molecular Graphics and Modelling
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Cannabinoid ligands sorting out by a 3D-QSAR approach using catalyst/hypogen

2009

National audience; Understanding how molecular structures are involved in recognition by a biological receptor is a decisive step in drug design, and could constitute an intricate problem because of existence of several binding sites, as is the case of GPCRs (1) that constitute the largest class of membrane receptors. In this context, identification of pharmacophores that should differentiate multiple binding modes is of particular interest. We have recently applied to ligands of a human olfactory receptor an original sorting-out procedure carried out using Catalyst/HypoGen software (Accelrys Ltd) (2). We aimed to validate this sorting out procedure using literature data, and in this way, w…

[SDV] Life Sciences [q-bio]CANNABINOID LIGANDS[SDV]Life Sciences [q-bio]CATALYST/HYPOGEN3D-QSAR APPROACH
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