Search results for "Molecular Docking Simulation"

showing 10 items of 151 documents

Proline-Based Allosteric Inhibitors of Zika and Dengue Virus NS2B/NS3 Proteases

2019

The NS2B/NS3 serine proteases of the Zika and Dengue flaviviruses are attractive targets for the development of antiviral drugs. We report the synthesis and evaluation of a new, proline-based compound class that displays allosteric inhibition of both proteases. The structural features relevant for protease binding and inhibition were determined to establish them as new lead compounds for flaviviral inhibitors. Based on our structure-activity relationship studies, the molecules were further optimized, leading to inhibitors with submicromolar IC50 values and improved lipophilic ligand efficiency. The allosteric binding site in the proteases was probed using mutagenesis and covalent modificati…

ProteasesProlineProtein ConformationAllosteric regulationViral Nonstructural ProteinsDengue virusmedicine.disease_causeAntiviral Agents01 natural sciencesDengueSerineStructure-Activity RelationshipViral Proteins03 medical and health sciencesAllosteric RegulationCatalytic DomainDrug DiscoverymedicineHumansStructure–activity relationshipProtease Inhibitors030304 developmental biology0303 health sciencesNS3Ligand efficiencyZika Virus InfectionChemistryProtease bindingSerine EndopeptidasesZika VirusDengue Virus0104 chemical sciencesMolecular Docking Simulation010404 medicinal & biomolecular chemistryBiochemistryA549 CellsMolecular MedicineAllosteric SitePeptide HydrolasesProtein BindingJournal of Medicinal Chemistry
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Development of Novel Selective Peptidomimetics Containing a Boronic Acid Moiety, Targeting the 20S Proteasome as Anticancer Agents

2014

This paper describes the design, synthesis, and biological evaluation of peptidomimetic boronates as inhibitors of the 20S proteasome, a validated target in the treatment of multiple myeloma. The synthesized compounds showed a good inhibitory profile against the ChT-L activity of 20S proteasome. Compounds bearing a β-alanine residue at the P2 position were the most active, that is, 3-ethylphenylamino and 4-methoxyphenylamino (R)-1-{3-[4-(substituted)-2-oxopyridin-1(2H)-yl]propanamido}-3-methylbutylboronic acids (3 c and 3 d, respectively), and these derivatives showed inhibition constants (Ki ) of 17 and 20 nM, respectively. In addition, they co-inhibited post glutamyl peptide hydrolase act…

Proteasome Endopeptidase ComplexPeptidomimeticStereochemistryCell Survivalanticancer agents; boronates; bortemib; Docking studies; Peptidomimetics; inhibitor; proteasomesAntineoplastic AgentsSaccharomyces cerevisiaedocking studieBiochemistrySubstrate Specificitychemistry.chemical_compoundCell Line TumorDrug DiscoverymedicineMoietyHumansGeneral Pharmacology Toxicology and PharmaceuticsPharmacologychemistry.chemical_classificationBinding SitesproteasomesBortezomibOrganic ChemistrybortezomibboronateBoronic AcidspeptidomimeticProtein Structure Tertiaryanticancer agentMolecular Docking SimulationinhibitorEnzymechemistryProteasomeBiochemistryDocking (molecular)Molecular MedicinePeptidomimeticsGrowth inhibitionDrug Screening Assays AntitumorProteasome InhibitorsBoronic acidmedicine.drug
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Optimization of peptidomimetic boronates bearing a P3 bicyclic scaffold as proteasome inhibitors

2014

Abstract A new series of pseudopeptide boronate proteasome inhibitors (2–3) was developed, through optimization of our previously described analogs of bortezomib, bearing a bicyclic 1,6-naphthyridin-5(6H)-one scaffold as P3 fragment (1). The biological evaluation on human 20S proteasome displayed a promising inhibition profile, especially for compounds bearing a P2 ethylene fragment, which exhibited Ki values in the nanomolar range for the ChT-L activity (e.g. 2a, Ki = 0.057 μM) and considerable selectivity for proteasome over bovine pancreatic α-chymotrypsin. Docking experiments into the yeast 20S proteasome revealed that the ligands are accommodated predominantly into the ChT-L site and t…

Proteasome Endopeptidase ComplexProtein ConformationStereochemistryPeptidomimeticAntineoplastic AgentsPeptidomimetic boronatePeptidomimetic boronates; Docing studies; Proteasome inhibitorsBortezomibchemistry.chemical_compoundCell Line TumorEndopeptidasesDrug DiscoverymedicineAnimalsHumansProteasome inhibitoranticancer drugTrypsinThreonineCell ProliferationPharmacologybiologyBicyclic moleculeBortezomibHydrolysisOrganic ChemistryActive siteGeneral MedicineBoronic AcidsCombinatorial chemistryMolecular Docking SimulationchemistryProteasomeDocking (molecular)Docking studieCaspasesDrug DesignPyrazinesProteolysisbiology.proteinCattlePeptidomimeticsProteasome InhibitorsLead compoundmedicine.drugEuropean Journal of Medicinal Chemistry
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Immunoproteasome and Non-Covalent Inhibition: Exploration by Advanced Molecular Dynamics and Docking Methods

2021

The selective inhibition of immunoproteasome is a valuable strategy to treat autoimmune, inflammatory diseases, and hematologic malignancies. Recently, a new series of amide derivatives as non-covalent inhibitors of the β1i subunit with Ki values in the low/submicromolar ranges have been identified. Here, we investigated the binding mechanism of the most potent and selective inhibitor, N-benzyl-2-(2-oxopyridin-1(2H)-yl)propanamide (1), to elucidate the steps from the ligand entrance into the binding pocket to the ligand-induced conformational changes. We carried out a total of 400 ns of MD-binding analyses, followed by 200 ns of plain MD. The trajectories clustering allowed identifying thre…

Proteasome Endopeptidase ComplexStereochemistryPharmaceutical ScienceOrganic chemistryinduced-fit dockingMolecular Dynamics Simulation01 natural sciencesArticlemetadynamicsAnalytical Chemistry03 medical and health scienceschemistry.chemical_compoundimmunoproteasomeQD241-441AmideDrug DiscoveryOrganosilicon CompoundsPhysical and Theoretical Chemistrynon-covalent inhibitor030304 developmental biology0303 health sciencesBinding Sites010405 organic chemistrymolecular dynamicnon-covalent inhibitorsMetadynamicsRational designDipeptidesLigand (biochemistry)PropanamideSettore CHIM/08 - Chimica Farmaceuticamolecular dynamics0104 chemical sciencesMolecular Docking SimulationchemistryChemistry (miscellaneous)Docking (molecular)MD bindingMolecular MedicinemetadynamicLead compoundOligopeptidesProteasome InhibitorsAcetamideProtein BindingMolecules
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Kinetic analysis and molecular modeling of the inhibition mechanism of roneparstat (SST0001) on human heparanase

2016

Heparanase is a β-d-glucuronidase which cleaves heparan sulfate chains in the extracellular matrix and on cellular membranes. A dysregulated heparanase activity is intimately associated with cell invasion, tumor metastasis and angiogenesis, making heparanase an attractive target for the development of anticancer therapies. SST0001 (roneparstat; Sigma-Tau Research Switzerland S.A.) is a non-anticoagulant 100% N-acetylated and glycol-split heparin acting as a potent heparanase inhibitor, currently in phase I in advanced multiple myeloma. Herein, the kinetics of heparanase inhibition by roneparstat is reported. The analysis of dose-inhibition curves confirmed the high potency of roneparstat (I…

Protein Conformation alpha-Helical0301 basic medicineSST0001Molecular modelhomology modelingAmino Acid MotifsPlasma protein bindingMolecular Dynamics SimulationBiochemistryMolecular Docking SimulationheparanaseSubstrate Specificity03 medical and health scienceschemistry.chemical_compound0302 clinical medicinePolysaccharidesHumansProtein Interaction Domains and MotifsHeparanaseHomology modelingEnzyme InhibitorsGlucuronidaseBinding Siteskinetic inhibition analysisHeparinComputational BiologyHeparan sulfateRecombinant ProteinsAcidobacteriaMolecular Docking SimulationEnzyme bindingKinetics030104 developmental biologyCarbohydrate SequenceFondaparinuxchemistryBiochemistryStructural Homology ProteinDocking (molecular)030220 oncology & carcinogenesisBiophysicsroneparstatThermodynamicsProtein Conformation beta-StrandORIGINAL ARTICLESProtein BindingGlycobiology
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A potential solution to avoid overdose of mixed drugs in the event of Covid-19: Nanomedicine at the heart of the Covid-19 pandemic.

2021

Since 2020, the world is facing the first global pandemic of 21st century. Among all the solutions proposed to treat this new strain of coronavirus, named SARS-CoV-2, the vaccine seems a promising way but the delays are too long to be implemented quickly. In the emergency, a dual therapy has shown its effectiveness but has also provoked a set of debates around the dangerousness of a particular molecule, hydroxychloroquine. In particular, the doses to be delivered, according to the studies, were well beyond the acceptable doses to support the treatment without side effects. We propose here to use all the advantages of nanovectorization to address this question of concentration. Using quantum…

Protein Conformation alpha-HelicalComputer science02 engineering and technologyAzithromycinDrug Delivery SystemsPandemicMaterials ChemistryDrug Dosage CalculationsSpectroscopymedia_common0303 health sciencesEvent (computing)021001 nanoscience & nanotechnologyComputer Graphics and Computer-Aided DesignMolecular Docking SimulationNanomedicineRisk analysis (engineering)Spike Glycoprotein CoronavirusDensity functional theory calculationsNanomedicineThermodynamicsNitrogen OxidesAngiotensin-Converting Enzyme 20210 nano-technologyHydroxychloroquineProtein BindingDrugBoron CompoundsCoronavirus disease 2019 (COVID-19)media_common.quotation_subjectSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Molecular Dynamics SimulationAntiviral AgentsArticle03 medical and health sciencesHumansProtein Interaction Domains and MotifsDual therapyPhysical and Theoretical Chemistry030304 developmental biologyDrug transportBinding SitesSARS-CoV-2Molecular dynamics simulationsCOVID-19NanostructuresCOVID-19 Drug TreatmentKineticsQuantum TheoryProtein Conformation beta-StrandNanovectorizationJournal of molecular graphicsmodelling
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Getting Docking into Shape Using Negative Image-Based Rescoring

2019

The failure of default scoring functions to ensure virtual screening enrichment is a persistent problem for the molecular docking algorithms used in the structure-based drug discovery. To remedy this problem, elaborate rescoring and post-processing schemes have been developed with a varying degree of success, specificity, and cost. The negative imagebased rescoring (R-NiB) has been shown to improve the flexible docking performance markedly with a variety of drug targets.The yield improvement is achieved by comparing the alternative docking poses against the negative image of the target protein’s ligand-binding cavity. In other words, the shape and electrostatics of the binding pocket is dir…

Protein ConformationComputer scienceGeneral Chemical EngineeringDrug Evaluation PreclinicalBinding pocketLibrary and Information SciencesCrystallography X-RayMachine learningcomputer.software_genre01 natural sciencesArticledrugsAutodock vinaUser-Computer InterfaceDOCK0103 physical sciencesVirtual screening010304 chemical physicsbusiness.industryDrug discoveryGeneral Chemistrymolecular dockingPANTHER/ShaEP-based R-NiB methodologyAutoDock0104 chemical sciencesComputer Science ApplicationsMolecular Docking SimulationBenchmarking010404 medicinal & biomolecular chemistryDocking (molecular)Artificial intelligencebusinesscomputer
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Targeting SARS-CoV-2 RBD Interface: a Supervised Computational Data-Driven Approach to Identify Potential Modulators

2020

Coronavirus disease 2019 (COVID-19) has spread out as a pandemic threat affecting over 2 million people. The infectious process initiates via binding of SARS-CoV-2 Spike (S) glycoprotein to host angiotensin-converting enzyme 2 (ACE2). The interaction is mediated by the receptor-binding domain (RBD) of S glycoprotein, promoting host receptor recognition and binding to ACE2 peptidase domain (PD), thus representing a promising target for therapeutic intervention. Herein, we present a computational study aimed at identifying small molecules potentially able to target RBD. Although targeting PPI remains a challenge in drug discovery, our investigation highlights that interaction between SARS-CoV…

Protein domainPneumonia ViralDruggabilityDrug Evaluation Preclinicalprotein-protein interactionsComputational biologyBiologyMolecular Dynamics SimulationPeptidyl-Dipeptidase AMolecular dynamics01 natural sciencesBiochemistryMolecular Docking SimulationAntiviral Agentsdockingmolecular dynamicProtein–protein interactionSmall Molecule LibrariesBetacoronavirusProtein DomainsDrug DiscoveryHumansGeneral Pharmacology Toxicology and PharmaceuticsPandemicsPharmacologyFull Paperpharmacophore010405 organic chemistryDrug discoverySARS-CoV-2Organic ChemistryCOVID-19Small molecule0104 chemical sciencesProtein-Protein InteractionMolecular Docking Simulation010404 medicinal & biomolecular chemistryDocking (molecular)Spike Glycoprotein CoronavirusdockingMolecular MedicineAngiotensin-Converting Enzyme 2PharmacophoreCoronavirus InfectionsProtein Binding
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In silico molecular investigations of pyridine N-Oxide compounds as potential inhibitors of SARS-CoV-2: 3D QSAR, molecular docking modeling, and ADME…

2020

The new coronavirus SARS-CoV-2 virus is causing a severe pneumonia in human, provoking the serious outbreak epidemic CoV-2. Since its appearance in Wuhan, China on December 2019, CoV-2 becomes the biggest challenge the world is facing today, including the discovery of antiviral drug for SARS-CoV-2. In this study, the potential inhibitory of a class of human SARS inhibitors, namely pyridine N-oxide derivatives, against CoV-2 was addressed by quantitative structure-activity relationship 3 D-QSAR. The reliable CoMSIA developed model of 110 pyridine N-oxide based-antiviral compounds, showed Q

Quantitative structure–activity relationship2019-20 coronavirus outbreakCoronavirus disease 2019 (COVID-19)PyridinesvirusesIn silicoSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)030303 biophysicsQuantitative Structure-Activity Relationshipmedicine.disease_causeAntiviral Agents03 medical and health sciencesStructural BiologymedicineHumansProtease InhibitorsMolecular BiologyCoronavirus0303 health sciencesSARS-CoV-2ChemistryDrug discoveryCOVID-19virus diseasesGeneral Medicinerespiratory systembiochemical phenomena metabolism and nutritionVirologyrespiratory tract diseasesMolecular Docking SimulationJournal of Biomolecular Structure and Dynamics
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Prospective computational design and in vitro bio-analytical tests of new chemical entities as potential selective CYP17A1 lyase inhibitors

2019

[EN] The development and advancement of prostate cancer (PCa) into stage 4, where it metastasize, is a major problem mostly in elder males. The growth of PCa cells is stirred up by androgens and androgen receptor (AR). Therefore, therapeutic strategies such as blocking androgens synthesis and inhibiting AR binding have been explored in recent years. However, recently approved drugs (or in clinical phase) failed in improving the expected survival rates for this metastatic-castration resistant prostate cancer (mCRPC) patients. The selective CYP17A1 inhibition of 17,20-lyase route has emerged as a novel strategy. Such inhibition blocks the production of androgens everywhere they are found in t…

Quantitative structure–activity relationshipStereochemistry01 natural sciencesBiochemistryStructure-Activity Relationship3D-QSAR pharmacophore modelDrug DiscoveryCytochrome P-450 Enzyme InhibitorsHumansStructure–activity relationshipCYP17A1 InhibitorMolecular BiologyDensity Functional TheoryVirtual screeningDose-Response Relationship DrugMolecular Structure010405 organic chemistryChemistryOrganic ChemistryProspective computational designSteroid 17-alpha-Hydroxylasecomputer.file_format1720-lyase selective inhibitionProtein Data BankLyase0104 chemical sciencesMolecular Docking Simulation010404 medicinal & biomolecular chemistryDocking (molecular)CYP17A1 inhibitorsMetastatic-castration resistant prostate cancerPharmacophorecomputer
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