Search results for "Simulation."

showing 10 items of 4779 documents

Identification of estrogen receptor α ligands with virtual screening techniques.

2016

Utilization of computer-aided molecular discovery methods in virtual screening (VS) is a cost-effective approach to identify novel bioactive small molecules. Unfortunately, no universal VS strategy can guarantee high hit rates for all biological targets, but each target requires distinct, fine-tuned solutions. Here, we have studied in retrospective manner the effectiveness and usefulness of common pharmacophore hypothesis, molecular docking and negative image-based screening as potential VS tools for a widely applied drug discovery target, estrogen receptor α (ERα). The comparison of the methods helps to demonstrate the differences in their ability to identify active molecules. For example,…

0301 basic medicineModels MolecularQuantitative structure–activity relationshipMolecular ConformationQuantitative Structure-Activity RelationshipComputational biologyMolecular Dynamics Simulationta3111BioinformaticsLigands01 natural sciencesMolecular Docking SimulationSmall Molecule Libraries03 medical and health sciencesestrogen receptor alphaDrug DiscoveryMaterials ChemistryHumansComputer SimulationPhysical and Theoretical ChemistrySpectroscopy3D-QSARVirtual screeningDrug discoveryChemistryta1182Estrogen Receptor alphaSmall Molecule LibrariesReproducibility of Resultsmolecular dockingvirtual screeningComputer Graphics and Computer-Aided DesignSmall molecule0104 chemical sciencesMolecular Docking Simulation010404 medicinal & biomolecular chemistry030104 developmental biologyArea Under Curvepharmacophore modelingligand discoverynegative imagePharmacophoreEstrogen receptor alphaJournal of molecular graphicsmodelling
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Kinetic evidence for interaction of TMPyP4 with two different G-quadruplex conformations of human telomeric DNA

2018

Background: Stabilization of G-quadruplex helices by small ligands has attracted growing attention because they inhibit the activity of the enzyme telomerase, which is overexpressed in> 80% cancer cells. TMPyP4, one of the most studied G-quadruplex ligands, is used as a model to show that the ligands can exhibit different binding features with different conformations of a human telomeric specific sequence. Methods: UV–Vis, FRET melting Assay, Isothermal Titration Calorimetry, Time-resolved Fluorescence lifetime, T-Jump and Molecular Dynamics. Results: TMPyP4 yields two different complexes with two Tel22 telomeric conformations in the presence of Na+ or K+. T-Jump kinetic experiments show th…

0301 basic medicineModels MolecularReaction mechanismMolecular dynamicPorphyrinsFast reactionsBiophysicsStackingTel22 conformationsMolecular dynamicsBuffersCalorimetryMolecular Dynamics SimulationG-quadruplexLigandsNucleic Acid DenaturationBiochemistryDissociation (chemistry)Chemistry Physical and theoretical03 medical and health sciencesMolecular dynamicsQuímica físicaFluorescence Resonance Energy TransferHumansFast reactionMolecular BiologyTMPyP4ChemistryTel22 conformationIsothermal titration calorimetryTelomereSmall moleculeG-QuadruplexesCrystallographyKinetics030104 developmental biologyFörster resonance energy transferOligodeoxyribonucleotidesBiophysicSettore CHIM/03 - Chimica Generale E InorganicaPotassiumNucleic Acid ConformationThermodynamicsSpectrophotometry Ultraviolet
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Ursolic acid enhances stress resistance, reduces ROS accumulation and prolongs life span in C. elegans serotonin-deficient mutants.

2021

Introduction: Depression and anxiety disorders contribute to the global disease burden. Ursolic acid (UA), a natural compound present in many vegetables, fruits and medicinal plants, was tested in vivo for its effect on (1) enhancing resistance to stress and (2) its effect on life span. Methods: The compound was tested for its antioxidant activity in C. elegans. Stress resistance was tested in the heat and osmotic stress assay. Additionally, the influence on normal life span was examined. RT-PCR was used to assess possible serotonin targets. Results: UA prolonged the life span of C. elegans. Additionally, UA significantly lowered reactive oxygen species (ROS). Molecular docking studies, PCR…

0301 basic medicineModels MolecularSerotoninAntioxidantHot TemperatureOsmotic shockmedicine.medical_treatmentLongevityPharmacologyAntioxidants03 medical and health scienceschemistry.chemical_compound0302 clinical medicineUrsolic acidIn vivoOsmotic PressureStress PhysiologicalmedicineAnimalsReceptorCaenorhabditis elegans5-HT receptorchemistry.chemical_classificationReactive oxygen speciesDepressionGeneral MedicineTriterpenesMolecular Docking SimulationDisease Models Animal030104 developmental biologychemistryReceptors SerotoninMutationSerotoninReactive Oxygen Species030217 neurology & neurosurgeryFood ScienceNaphthoquinonesFoodfunction
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In silico discovery of substituted pyrido[2,3-d]pyrimidines and pentamidine-like compounds with biological activity in myotonic dystrophy models

2016

Myotonic dystrophy type 1 (DM1) is a rare multisystemic disorder associated with an expansion of CUG repeats in mutant DMPK (dystrophia myotonica protein kinase) transcripts; the main effect of these expansions is the induction of pre-mRNA splicing defects by sequestering muscleblind-like family proteins (e.g. MBNL1). Disruption of the CUG repeats and the MBNL1 protein complex has been established as the best therapeutic approach for DM1, hence two main strategies have been proposed: targeted degradation of mutant DMPK transcripts and the development of CUG-binding molecules that prevent MBNL1 sequestration. Herein, suitable CUG-binding small molecules were selected using in silico approach…

0301 basic medicineMolecular biologyPhysiologyMutantMyotonic dystrophyDruggabilitylcsh:Medicine01 natural sciencesBiochemistryPhysical ChemistryMyoblastschemistry.chemical_compoundAnabolic AgentsMedicaments--InteraccióAnimal CellsDrug DiscoveryMedicine and Health SciencesMBNL1Drosophila ProteinsMyotonic Dystrophylcsh:ScienceRNA structureConnective Tissue CellsMultidisciplinaryMolecular StructureOrganic CompoundsStem CellsPhysicsRNA-Binding ProteinsBiological activityPhenotypeClimbingMolecular Docking SimulationNucleic acidsChemistryDrosophila melanogasterBiochemistryGenetic DiseasesConnective TissueRNA splicingPhysical SciencesCellular TypesAnatomyLocomotion57 - BiologiaSignal TransductionResearch ArticleBiotechnologyHydrogen bondingcongenital hereditary and neonatal diseases and abnormalitiesIn silicoPrimary Cell CultureComputational biologyBiology010402 general chemistryMyotonic dystrophyMyotonin-Protein KinaseDrug interactionsSmall Molecule Libraries03 medical and health sciencesStructure-Activity RelationshipmedicineAnimalsHumansRNA MessengerEnllaços d'hidrogenClinical GeneticsChemical PhysicsBiology and life sciencesChemical BondingBiological Locomotionlcsh:ROrganic ChemistryEstructura molecularChemical CompoundsHydrogen BondingCell BiologyFibroblastsmedicine.disease0104 chemical sciencesBenzamidinesAlternative SplicingDisease Models AnimalMacromolecular structure analysis030104 developmental biologyPyrimidinesBiological TissuechemistrySmall MoleculesRNAlcsh:QTrinucleotide Repeat ExpansionMolecular structure
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The dimer-monomer equilibrium of SARS-CoV-2 main protease is affected by small molecule inhibitors

2021

AbstractThe maturation of coronavirus SARS-CoV-2, which is the etiological agent at the origin of the COVID-19 pandemic, requires a main protease Mpro to cleave the virus-encoded polyproteins. Despite a wealth of experimental information already available, there is wide disagreement about the Mpro monomer-dimer equilibrium dissociation constant. Since the functional unit of Mpro is a homodimer, the detailed knowledge of the thermodynamics of this equilibrium is a key piece of information for possible therapeutic intervention, with small molecules interfering with dimerization being potential broad-spectrum antiviral drug leads. In the present study, we exploit Small Angle X-ray Scattering (…

0301 basic medicineMolecular biologyProtein ConformationSciencemedicine.medical_treatmentDimerBiophysicsPlasma protein binding010402 general chemistryAntiviral Agents01 natural sciencesArticleDissociation (chemistry)03 medical and health scienceschemistry.chemical_compoundProtein structureX-Ray DiffractionDrug DiscoverymedicineHumansProtease InhibitorsCoronavirus 3C ProteasesVirtual screeningMultidisciplinaryProteaseSARS-CoV-2ChemistryQSARS-CoV-2 main protease Mpro enzymatic activity inhibition Small Angle X-ray Scattering small inhibitors virtual screeningRCOVID-19Computational BiologySmall moleculeComputational biology and bioinformatics0104 chemical sciencesMolecular Docking SimulationDissociation constant030104 developmental biologyBiophysicsMedicineThermodynamicsDimerizationProtein Binding
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Identification of the Privileged Position in the Imidazo[1,2-a]pyridine Ring of Phosphonocarboxylates for Development of Rab Geranylgeranyl Transfera…

2017

Members of the Rab GTPase family are master regulators of vesicle trafficking. When disregulated, they are associated with a number of pathological states. The inhibition of RGGT, an enzyme responsible for post-translational geranylgeranylation of Rab GTPases represents one way to control the activity of these proteins. Because the number of molecules modulating RGGT is limited, we combined molecular modeling with biological assays to ascertain how modifications of phosphonocarboxylates, the first reported RGGT inhibitors, rationally improve understanding of their structure-activity relationship. We have identified the privileged position in the core scaffold of the imidazo[1,2-a]pyridine r…

0301 basic medicineMolecular modelPyridinesOrganophosphonatesProtein PrenylationAntineoplastic AgentsGTPase01 natural sciencesHeLa03 medical and health sciencesStructure-Activity RelationshipGeranylgeranylationPrenylationDrug DiscoveryStructure–activity relationshipHumansEnzyme Inhibitorsta116Cell Proliferationchemistry.chemical_classificationAlkyl and Aryl Transferasesbiology010405 organic chemistryrab geranylgeranyl transferaseta1182biology.organism_classification0104 chemical sciencesCell biologyMolecular Docking Simulation030104 developmental biologyEnzymechemistryBiochemistryrab GTP-Binding ProteinsMolecular MedicineRabHeLa CellsJournal of Medicinal Chemistry
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Inhibition of human monoamine oxidase A and B by flavonoids isolated from two Algerian medicinal plants

2017

Abstract Background Monoamine oxidases (MAOs) are outer mitochondrial membrane flavoenzymes. They catalyze the oxidative deamination of a variety of neurotransmitters. MAO-A and MAO-B may be considered as targets for inhibitors to treat neurodegenerative diseases and depression and for managing symptoms associated with Parkinson's and Alzheimer's diseases. Purpose The objective was to evaluate the inhibitory effect of Hypericum afrum and Cytisus villosus against MAO-A and B and to isolate the compounds responsible for the MAO-inhibitory activity. Methods The inhibitory effect of extracts and purified constituents of H. afrum and C. villosus were investigated in vitro using recombinant human…

0301 basic medicineMonoamine Oxidase InhibitorsMonoamine oxidaseDrug Evaluation PreclinicalPharmaceutical ScienceGenisteinMixed inhibitionArticleMass SpectrometryInhibitory Concentration 5003 medical and health scienceschemistry.chemical_compoundDrug DiscoveryHumansChrysinMonoamine OxidaseIC50CytisusFlavonoidsPharmacologyPlants MedicinalMolecular Docking Simulation030104 developmental biologyComplementary and alternative medicinechemistryBiochemistryDocking (molecular)AlgeriaMolecular MedicineQuercetinMyricetinQuercetinHypericumPhytomedicine
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Global emergence of the widespread Pseudomonas aeruginosa ST235 clone

2018

Abstract Objectives Despite the non-clonal epidemic population structure of Pseudomonas aeruginosa , several multi-locus sequence types are distributed worldwide and are frequently associated with epidemics where multidrug resistance confounds treatment. ST235 is the most prevalent of these widespread clones. In this study we aimed to understand the origin of ST235 and the molecular basis for its success. Methods The genomes of 79 P. aeruginosa ST235 isolates collected worldwide over a 27-year period were examined. A phylogenetic network was built, using a Bayesian approach to find the Most Recent Common Ancestor, and we identified antibiotic resistance determinants and ST235-specific genes…

0301 basic medicineMost recent common ancestorClone (cell biology)[ SDV.MP.BAC ] Life Sciences [q-bio]/Microbiology and Parasitology/Bacteriologymedicine.disease_causeGlobal HealthGenome[ SDV.MP ] Life Sciences [q-bio]/Microbiology and ParasitologyPrevalenceCluster Analysis[ SDV.BIBS ] Life Sciences [q-bio]/Quantitative Methods [q-bio.QM]High-risk clonesPhylogenyComputingMilieux_MISCELLANEOUSMolecular EpidemiologyGeneral Medicine3. Good healthInfectious Diseases[SDV.MP]Life Sciences [q-bio]/Microbiology and Parasitology[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA][ SDV.BBM.GTP ] Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]Pseudomonas aeruginosaEfflux[INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]FluoroquinolonesMicrobiology (medical)Genotype030106 microbiologyEpidemic[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE]BiologyBacterial resistanceMicrobiology[INFO.INFO-IU]Computer Science [cs]/Ubiquitous ComputingEvolution Molecular03 medical and health sciences[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR]Antibiotic resistanceDrug Resistance BacterialmedicinePseudomonas InfectionsGenePseudomonas aeruginosaPathogenInternational clones[INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationMultiple drug resistanceGenes Bacterial[INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET]Multilocus Sequence Typing
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DeepWAS: Multivariate genotype-phenotype associations by directly integrating regulatory information using deep learning

2020

Genome-wide association studies (GWAS) identify genetic variants associated with traits or diseases. GWAS never directly link variants to regulatory mechanisms. Instead, the functional annotation of variants is typically inferred by post hoc analyses. A specific class of deep learning-based methods allows for the prediction of regulatory effects per variant on several cell type-specific chromatin features. We here describe “DeepWAS”, a new approach that integrates these regulatory effect predictions of single variants into a multivariate GWAS setting. Thereby, single variants associated with a trait or disease are directly coupled to their impact on a chromatin feature in a cell type. Up to…

0301 basic medicineMultivariate analysisGene ExpressionGenome-wide association studyBiochemistry0302 clinical medicineGenotypeMedicine and Health SciencesBiology (General)0303 health sciencesDNA methylationEcologyChromosome BiologyNeurodegenerative DiseasesGenomicsChromatinChromatinNucleic acidsNeurologyComputational Theory and MathematicsModeling and SimulationDNA methylationTraitEpigeneticsDNA modificationFunction and Dysfunction of the Nervous SystemChromatin modificationResearch ArticleMultiple SclerosisQH301-705.5Quantitative Trait LociImmunologySingle-nucleotide polymorphismComputational biologyBiologyQuantitative trait locusPolymorphism Single NucleotideAutoimmune DiseasesMolecular Genetics03 medical and health sciencesCellular and Molecular NeuroscienceDeep LearningGenome-Wide Association StudiesGeneticsHumansGeneMolecular BiologyGenetic Association StudiesEcology Evolution Behavior and Systematics030304 developmental biologyGenetic associationBiology and Life SciencesComputational BiologyHuman GeneticsCell BiologyDNAGenome AnalysisDemyelinating Disorders030104 developmental biologyGenetic LociMultivariate AnalysisClinical ImmunologyClinical Medicine030217 neurology & neurosurgeryGenome-Wide Association StudyPLOS Computational Biology
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Identifying Prognostic SNPs in Clinical Cohorts: Complementing Univariate Analyses by Resampling and Multivariable Modeling

2016

Clinical cohorts with time-to-event endpoints are increasingly characterized by measurements of a number of single nucleotide polymorphisms that is by a magnitude larger than the number of measurements typically considered at the gene level. At the same time, the size of clinical cohorts often is still limited, calling for novel analysis strategies for identifying potentially prognostic SNPs that can help to better characterize disease processes. We propose such a strategy, drawing on univariate testing ideas from epidemiological case-controls studies on the one hand, and multivariable regression techniques as developed for gene expression data on the other hand. In particular, we focus on …

0301 basic medicineMultivariate analysisMicroarraysTest StatisticsGene Expressionlcsh:MedicineBioinformatics01 natural sciencesHematologic Cancers and Related DisordersCohort Studies010104 statistics & probabilityMathematical and Statistical TechniquesResamplingMedicine and Health Scienceslcsh:ScienceStatistical DataUnivariate analysisMultidisciplinarySimulation and ModelingMultivariable calculusRegression analysisHematologyMyeloid LeukemiaPrognosisRegressionBioassays and Physiological AnalysisOncologyResearch DesignPhysical SciencesStatistics (Mathematics)Research ArticleAcute Myeloid LeukemiaPermutationSingle-nucleotide polymorphismComputational biologyBiologyResearch and Analysis MethodsPolymorphism Single Nucleotide03 medical and health sciencesLeukemiasGeneticsHumansStatistical Methods0101 mathematicsDiscrete Mathematicslcsh:RUnivariateCancers and NeoplasmsBiology and Life SciencesModels Theoretical030104 developmental biologyCombinatoricsCase-Control StudiesMultivariate Analysislcsh:QMathematicsPLOS ONE
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