Search results for " pharmacophore modeling"

showing 4 items of 4 documents

Evaluating the stability of pharmacophore features using molecular dynamics simulations.

2016

Abstract Molecular dynamics simulations of twelve protein—ligand systems were used to derive a single, structure based pharmacophore model for each system. These merged models combine the information from the initial experimental structure and from all snapshots saved during the simulation. We compared the merged pharmacophore models with the corresponding PDB pharmacophore models, i.e., the static models generated from an experimental structure in the usual manner. The frequency of individual features, of feature types and the occurrence of features not present in the static model derived from the experimental structure were analyzed. We observed both pharmacophore features not visible in …

0301 basic medicineProtein FlexibilityProtein ConformationBiophysicsStability (learning theory)Molecular Dynamics SimulationLigands01 natural sciencesBiochemistryLigandScoutSet (abstract data type)03 medical and health sciencesMolecular dynamicsComputational chemistryFeature (machine learning)Pharmacophore ModelingSensitivity (control systems)Molecular BiologyBinding Sites010405 organic chemistryChemistryStructure-based Pharmacophore ModelingMolecular DynamicProteinsHydrogen BondingCell Biology0104 chemical sciences030104 developmental biologyRankingModels ChemicalDrug DesignPharmacophoreBiological systemProtein BindingBiochemical and biophysical research communications
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Computational Approaches: Drug Discovery and Design in Medicinal Chemistry and Bioinformatics

2021

To date, computational approaches have been recognized as a key component in drug design and discovery workflows. Developed to help researchers save time and reduce costs, several computational tools have been developed and implemented in the last twenty years. At present, they are routinely used to identify a therapeutic target, understand ligand–protein and protein–protein interactions, and identify orthosteric and allosteric binding sites, but their primary use remains the identification of hits through ligand-based and structure-based virtual screening and the optimization of lead compounds, followed by the estimation of the binding free energy. The repurposing of an old drug for the tr…

Computational approacheModels Molecularhealth care facilities manpower and servicesChemistry Pharmaceuticaldrug discovery drug design bioinformatics Docking Molecular Dynamics pharmacophore modeling QSAR drug-repurposing SARS-CoV2educationOrganic ChemistryPharmaceutical ScienceComputational BiologyAnalytical Chemistryn/aQD241-441EditorialChemistry (miscellaneous)health services administrationDrug DiscoveryMolecular MedicineHumansThermodynamicsPhysical and Theoretical Chemistryhealth care economics and organizationsMolecules
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3D-QSAR pharmacophore modeling and in silico screening of new Bcl-xl inhibitors.

2010

Bcl-2 proteins family members play several roles in tumoral proliferation: they inhibit proapoptotic activity during oncogenesis, support tumor cells survival, induce chemoresistance. The discovery of new small inhibitors of Bcl-xl represents a new frontier for cancer treatment. In this study, a 3D-QSAR pharmacophore model was developed, based on 42 biarylacylsulfonamides, and used to understand the structural factors affecting the inhibitory potency of these derivatives. Aromatic, negative charge, and hydrogen bond acceptor effects contribute to the inhibitory activity. The model was then employed as 3D search query to screen ZINC drug-like database in order to select new scaffolds. Finall…

PharmacologyModels MolecularVirtual screeningQuantitative structure–activity relationshipTertiary amineMolecular modelChemistryIn silicoOrganic ChemistryMolecular Conformationbcl-X ProteinQuantitative Structure-Activity RelationshipGeneral MedicineSettore CHIM/08 - Chimica FarmaceuticaBiochemistryIn vivoDocking (molecular)Drug Discovery3D-QSAR Pharmacophore Modeling In Silico Screening Bcl-xl InhibitorsPharmacophoreEuropean journal of medicinal chemistry
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In Silico Design, Synthesis and Biological Evaluation of Anticancer Arylsulfonamide Endowed with Anti-Telomerase Activity

2022

Telomerase, a reverse transcriptase enzyme involved in DNA synthesis, has a tangible role in tumor progression. Several studies have evidenced telomerase as a promising target for developing cancer therapeutics. The main reason is due to the overexpression of telomerase in cancer cells (85–90%) compared with normal cells where it is almost unexpressed. In this paper, we used a structure-based approach to design potential inhibitors of the telomerase active site. The MYSHAPE (Molecular dYnamics SHared PharmacophorE) approach and docking were used to screen an in-house library of 126 arylsulfonamide derivatives. Promising compounds were synthesized using classical and green methods. Com…

SulfonamidesRPharmaceutical ScienceAnticancer compounds; Arylsulfonamide; Docking; Molecular dynamics; Pharmacophore modeling; Structure-based drug design; Sulfonamides; Telomerase inhibitorsMolecular dynamicsSettore CHIM/08 - Chimica FarmaceuticaArticleDockingRS1-441Anticancer compoundsTelomerase inhibitorsPharmacy and materia medicaDrug DiscoveryArylsulfonamideMedicineMolecular Medicinesulfonamides; arylsulfonamide; anticancer compounds; telomerase inhibitors; structure-based drug design; pharmacophore modeling; docking; molecular dynamicsStructure-based drug designPharmacophore modeling
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