Search results for " Pharmacophore"

showing 10 items of 21 documents

Investigation of Isoindolo[2,1-a] quinoxaline-6-imines as Topoisomerase I Inhibitors with Molecular Modeling Methods

2017

Background: Isoindolo[2,1-alpha] quinoxalines constitute an important class of compounds which demonstrated potent antiproliferative activity against different human tumor cell lines and topoisomerase I inhibitors. In particular, their water soluble imine or iminium salts recently synthesized showed potent growth inhibitory effect on NCI-60 tumor cell line panel and biological studies performed on the most active compounds demonstrated that they cause DNA damage via topoisomerase I poisoning. Objective: Herein, we investigate with molecular modeling methods, the common features responsible for topoisomerase I inhibition of the water-soluble isoindolo[2,1-alpha] quinoxalin-6-imines, by compa…

0301 basic medicine030103 biophysicsMolecular modelStereochemistryDNA damageAntineoplastic AgentsIsoindolesTopoisomerase-I InhibitorCrystallography X-RayaromatechinStructure-Activity Relationship03 medical and health scienceschemistry.chemical_compoundQuinoxalinetopotecanantiproliferativeCell Line TumorNeoplasmsQuinoxalinesquinoxalineDrug DiscoveryHumansCell Proliferationbiologypharmacophore modelTopoisomeraseIminiumGeneral MedicineSettore CHIM/08 - Chimica FarmaceuticaMolecular Docking SimulationTopoisomerase IindenoisoquinolineDNA Topoisomerases Type IchemistryDocking (molecular)dockingbiology.proteinMolecular MedicineTopoisomerase I; quinoxaline; antiproliferative; topotecan; aromatechin; indenoisoquinoline; docking; pharmacophore modelIminesTopoisomerase I InhibitorsPharmacophore
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Searching for Chymase Inhibitors among Chamomile Compounds Using a Computational-Based Approach

2018

Inhibitors of chymase have good potential to provide a novel therapeutic approach for the treatment of cardiovascular diseases. We used a computational approach based on pharmacophore modeling, docking, and molecular dynamics simulations to evaluate the potential ability of 13 natural compounds from chamomile extracts to bind chymase enzyme. The results indicated that some chamomile compounds can bind to the active site of human chymase. In particular, chlorogenic acid had a predicted binding energy comparable or even better than that of some known chymase inhibitors, interacted stably with key amino acids in the chymase active site, and appeared to be more selective for chymase than other …

0301 basic medicineProteaseschlorogenic acidlcsh:QR1-502030204 cardiovascular system & hematologyMolecular Dynamics SimulationCrystallography X-RayLigandsBiochemistrylcsh:MicrobiologyArticleSerine03 medical and health sciences0302 clinical medicineChymasesCatalytic DomainHumanschamomilecardiovascular diseases; chamomile; chlorogenic acid; chymase; docking; matricin; molecular dynamics simulations; pharmacophore; Biochemistry; Molecular BiologyEnzyme InhibitorsMolecular Biologychymasechemistry.chemical_classificationBinding SitesbiologypharmacophoreChymaseActive sitemolecular dynamics simulationsmatricinAmino acidcardiovascular diseasesMolecular Docking Simulation030104 developmental biologyEnzymechemistryBiochemistryDocking (molecular)dockingbiology.proteinPharmacophoreBiomolecules
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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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Repurposing old drugs to fight multidrug resistant cancers.

2020

Overcoming multidrug resistance represents a major challenge for cancer treatment. In the search for new chemotherapeutics to treat malignant diseases, drug repurposing gained a tremendous interest during the past years. Repositioning candidates have often emerged through several stages of clinical drug development, and may even be marketed, thus attracting the attention and interest of pharmaceutical companies as well as regulatory agencies. Typically, drug repositioning has been serendipitous, using undesired side effects of small molecule drugs to exploit new disease indications. As bioinformatics gain increasing popularity as an integral component of drug discovery, more rational approa…

0301 basic medicineVirtual screeningCancer ResearchDrug repurposingSettore BIO/11 - Biologia MolecolareAntineoplastic AgentsDrug resistanceBioinformatics03 medical and health sciencesClinical cancer trials; Drug repurposing; Multidrug resistant cancer; Pharmacophore modelling; Virtual screening0302 clinical medicineNeoplasmsDrug DiscoveryMedicineHumansPharmacology (medical)Computer SimulationRepurposingPharmacologyVirtual screeningDrug discoverybusiness.industryDrug RepositioningComputational BiologyDrug Resistance Multiple3. Good healthMultiple drug resistanceDrug repositioning030104 developmental biologyInfectious DiseasesOncologyDrug developmentDrug Resistance Neoplasm030220 oncology & carcinogenesisMultidrug resistant cancerPharmacophore modellingPharmacophorebusinessClinical cancer trialsDrug resistance updates : reviews and commentaries in antimicrobial and anticancer chemotherapy
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Synthesis and biological activities of a new class of heat shock protein 90 inhibitors, designed by energy-based pharmacophore virtual screening

2013

The design through energy-based pharmacophore virtual screening has led to aminocyanopyridine derivatives as efficacious new inhibitors of Hsp90. The synthesized compounds showed a good affinity for the Hsp90 ATP binding site in the competitive binding assay. Moreover, they showed an excellent antiproliferative activity against a large number of human tumor cell lines. Further biological studies on the derivative with the higher EC50 confirmed its specific influence on the cellular pathways involving Hsp90.

AminopyridinesInhibitory Concentration 50Structure-Activity RelationshipUser-Computer InterfaceHeat shock proteinCell Line TumorSettore BIO/10 - BiochimicaDrug DiscoveryHumansHSP90 Heat-Shock ProteinsBinding siteVirtual screeningheat shock protein 90 inhibitors energy-based pharmacophore virtual screening cell cycle antiproliferative activitybiologyChemistryHsp90Combinatorial chemistrySettore CHIM/08 - Chimica FarmaceuticaHuman tumorMolecular Docking SimulationCell cultureDrug DesignEnergy basedbiology.proteinMolecular MedicinePharmacophoreDrug Screening Assays Antitumor
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Comparing molecular dynamics-derived pharmacophore models with docking: A study on CDK-2 inhibitors

2020

Abstract We compared the performance of molecular dynamics (MD)-derived pharmacophore modeling approaches, Common Hit Approach (CHA), and the Molecular dYnamics SHAred PharmacophorE (MYSHAPE) approach, with semi-flexible constrained/unconstrained docking. The aim of this work is to enrich the hit-list of a virtual screening on CDK-2 known inhibitors as a case study. Cyclin-dependent kinases (CDKs) deregulation is associated with cancer growth. CDKs are an attractive target for anticancer agents. MD-derived pharmacophore models have been obtained with LigandScout 4.2.1. Docking analysis has been performed through Glide 7.6. The results highlighted the MYSHAPE approach has a better performanc…

CDK2Virtual screeningbiologyPharmacophore010405 organic chemistryChemistryGeneral ChemistryComputational biologyMolecular dynamics010402 general chemistry01 natural sciencesDynamic pharmacophoreLigandScout0104 chemical sciencesDockingMolecular dynamicsCyclin-dependent kinaseDocking (molecular)biology.proteinPharmacophore
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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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Dynamic-shared Pharmacophore Approach as Tool to Design New Allosteric PRC2 Inhibitors, Targeting EED Binding Pocket.

2020

Abstract: The Polycomb Repressive complex 2 (PRC2) maintains a repressive chromatin state and silences many genes, acting as methylase on histone tails. This enzyme was found overexpressed in many types of cancer. In this work, we have set up a Computer-Aided Drug Design approach based on the allosteric modulation of PRC2. In order to minimize the possible bias derived from using a single set of coordinates within the protein-ligand complex, a dynamic workflow was developed. In details, molecular dynamic was used as tool to identify the most significant ligand-protein interactions from several crystallized protein structures. The identified features were used for the creation of dynamic pha…

Computer scienceAllosteric regulationBinding pocketmacromolecular substancesComputational biologyMolecular Dynamics SimulationLigands01 natural sciences03 medical and health sciencesProtein structureStructural BiologyDrug DiscoveryHumans030304 developmental biologyEED0303 health sciencesVirtual screeningBinding SitesbiologyOrganic ChemistryMolecular DynamicPolycomb Repressive Complex 2Dynamic pharmacophorePRC20104 chemical sciencesComputer Science ApplicationsChromatinMolecular Docking Simulation010404 medicinal & biomolecular chemistryROC CurveDocking (molecular)Drug Designbiology.proteinMolecular MedicinePharmacophorePRC2Allosteric SiteProtein BindingMolecular informaticsReferences
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Synthesis of 8-aminomorphans with high KOR affinity

2021

2-Azabicyclo[3.3.1]nonanes (morphans) with a (3,4-dichlorophenyl)acetyl group at 2-position and a pyrrolidino moiety at 8-position were designed as conformationally restricted analogs of piperidine-based KOR agonists. The synthesis started with 4-oxopiperidine-2-carboxylic acid comprising 13 reaction steps. At first the ketone 10 was transformed into diester 7 bearing a propionate side chain. Dieckmann condensation of diester 7 to afford bicyclic enolester 14 and subsequent Krapcho deethoxycarbonylation represent the key steps of the synthesis. The enantiomeric pyrrolidines (1S,5R,8R)-5a and (1R,5S,8S)-5a were separated by chiral HPLC. The eutomer (1S,5R,8R)-5a showed high KOR affinity (K-i…

Diastereoselective reductive aminationEnantiomeric excessStructure-affinity relationshipsPharmacologyPyrrolidinesReceptors Opioid kappaNOESY spectrumOrganic ChemistryMolecular ConformationStereoisomerismGeneral MedicineKOR agonistsEndo-configurationStructure-Activity RelationshipKOR pharmacophoreConformational restrictionChiral HPLCDihedral angleDrug DiscoveryCis/trans-configurationMorphan2-azabicyclo[3.3.1]nonaneEuropean Journal of Medicinal Chemistry
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RATIONAL DESIGN AND SYNTHESIS OF NOVEL INHIBITORS OF EPIGENETIC TARGET INVOLVED IN CANCER

2021

Drug DesignKDM4AEpigeneticCarbenoidPCR2Dynamic pharmacophoreSettore CHIM/08 - Chimica Farmaceutica
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