Search results for " Simulation"

showing 10 items of 4034 documents

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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Molecular docking-based design and development of a highly selective probe substrate for UDP-glucuronosyltransferase 1A10

2018

Intestinal and hepatic glucuronidation by the UDP-glucuronosyltransferases (UGTs) greatly affect the bioavailability of phenolic compounds. UGT1A10 catalyzes glucuronidation reactions in the intestine, but not in the liver. Here, our aim was to develop selective, fluorescent substrates to easily elucidate UGT1A10 function. To this end, homology models were constructed and used to design new substrates, and subsequently, six novel C3-substituted (4-fluorophenyl, 4-hydroxyphenyl, 4-methoxyphenyl, 4-(dimethylamino)phenyl, 4-methylphenyl, or triazole) 7-hydroxycoumarin derivatives were synthesized from inexpensive starting materials. All tested compounds could be glucuronidated to nonfluorescen…

0301 basic medicineMutantGlucuronidationPharmaceutical ScienceUGT1A10030226 pharmacology & pharmacySubstrate Specificity7-hydroxycoumarin derivativechemistry.chemical_compound0302 clinical medicineDrug DiscoveryCRYSTAL-STRUCTUREGlucuronosyltransferaseta116ta317AFFINITYchemistry.chemical_classificationChemistry3. Good healthMolecular ImagingMolecular Docking Simulation7-hydroxycoumarin317 Pharmacyin silicoMolecular MedicinefluorescenceUDP-glucuronosyltransferaseEXPRESSIONENZYMEStereochemistryIn silicoKineticsFLUORESCENT-PROBETriazoleta311103 medical and health sciencesGlucuronidesMicrosomesXENOBIOTICSHumansUmbelliferonesFluorescent DyesGLUCURONIDATIONta1182glucuronidationfluoresenssiSubstrate (chemistry)drug metabolism030104 developmental biologyEnzymeDRUG-METABOLISMDrug DesignMolecular ProbesMutationMutagenesis Site-DirectedORAL BIOAVAILABILITYDrug metabolism
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A clustering package for nucleotide sequences using Laplacian Eigenmaps and Gaussian Mixture Model.

2018

International audience; In this article, a new Python package for nucleotide sequences clustering is proposed. This package, freely available on-line, implements a Laplacian eigenmap embedding and a Gaussian Mixture Model for DNA clustering. It takes nucleotide sequences as input, and produces the optimal number of clusters along with a relevant visualization. Despite the fact that we did not optimise the computational speed, our method still performs reasonably well in practice. Our focus was mainly on data analytics and accuracy and as a result, our approach outperforms the state of the art, even in the case of divergent sequences. Furthermore, an a priori knowledge on the number of clust…

0301 basic medicineNematoda01 natural sciencesGaussian Mixture Model[STAT.ML]Statistics [stat]/Machine Learning [stat.ML][MATH.MATH-ST]Mathematics [math]/Statistics [math.ST]ComputingMilieux_MISCELLANEOUScomputer.programming_language[STAT.AP]Statistics [stat]/Applications [stat.AP]Phylogenetic treeDNA ClusteringGenomicsHelminth ProteinsComputer Science Applications[STAT]Statistics [stat]010201 computation theory & mathematics[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]Data analysisEmbeddingA priori and a posteriori[INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]Health Informatics0102 computer and information sciences[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE]Biology[INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing03 medical and health sciences[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR]Laplacian EigenmapsAnimalsCluster analysis[SDV.GEN]Life Sciences [q-bio]/GeneticsModels Geneticbusiness.industryPattern recognitionNADH DehydrogenaseSequence Analysis DNAPython (programming language)Mixture model[INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationVisualization030104 developmental biologyComputingMethodologies_PATTERNRECOGNITIONPlatyhelminths[INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET]Programming LanguagesArtificial intelligence[INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM]businesscomputerComputers in biology and medicine
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In silico and in vitro prediction of the toxicological effects of individual and combined mycotoxins.

2018

3-Acetyldeoxynivalenol (3-AcDON) and 15-acetyldeoxynivalenol (15-AcDON) are converted to deoxynivalenol (DON) in vivo and their simultaneous presence may increase DON intake. Mixtures of DON and its derivatives are a public health concern. In this study DON, 3-AcDON and 15-AcDON were evaluated in vitro and in silico. The in vitro cytotoxicity of DON and its derivatives individually and combined was determined by the Neutral Red (NR) assay in human hepatocarcinoma (HepG2) cells. The concentrations tested were from 1.25 to 15 μM (DON) and from 0.937 to 7.5 μM (DON derivatives). The IC50 values were from >15 to 2.55 μM (DON), from 1.77 to 1.02 μM (3-AcDON), and from 4.05 to 1.68 μM (15-AcDON).…

0301 basic medicineNeutral redCell SurvivalIn silicoComplex MixturesIn Vitro TechniquesToxicologyExcretion03 medical and health scienceschemistry.chemical_compoundInhibitory Concentration 500404 agricultural biotechnologyIn vivoCytochrome P-450 CYP3AHumansComputer SimulationFood scienceMycotoxinCYP3A4Dose-Response Relationship DrugChemistry04 agricultural and veterinary sciencesGeneral MedicineHep G2 CellsMycotoxins040401 food scienceIn vitro030104 developmental biologyGastrointestinal AbsorptionToxicityTrichothecenesFood ScienceFood and chemical toxicology : an international journal published for the British Industrial Biological Research Association
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Identification of noncovalent proteasome inhibitors with high selectivity for chymotrypsin-like activity by a multistep structure-based virtual scree…

2016

Noncovalent proteasome inhibitors introduce an alternative mechanism of inhibition to that of covalent inhibitors, e.g. carfilzomib, used in cancer therapy. A multistep hierarchical structure-based virtual screening (SBVS) of the 65,375 NCI lead-like compound library led to the identification of two compounds (9 and 28) which noncovalently inhibited the chymotrypsin-like (ChT-L) activity (Ki = 2.18 and 2.12 μM, respectively) with little or no effects on the other two major proteasome proteolytic activities, trypsin-like (T-L) and post-glutamyl peptide hydrolase (PGPH) activities. A subsequent hierarchical similarity search over the full NCI database with the most active tripeptide-based inh…

0301 basic medicineNon-covalentVirtual screeningProteasome Endopeptidase ComplexStereochemistryProtein ConformationProteolysisDrug Evaluation PreclinicalTripeptideSubstrate Specificity03 medical and health scienceschemistry.chemical_compoundStructure-Activity RelationshipUser-Computer Interface0302 clinical medicineProtein structureCell Line TumorDrug DiscoverymedicineStructure–activity relationshipChymotrypsinHumansProteasome inhibitorCell ProliferationPharmacologyVirtual screeningmedicine.diagnostic_testOrganic ChemistryGeneral MedicineCarfilzomibPeptide scaffoldMolecular Docking SimulationProteasome inhibitors; Non-covalent; Peptide scaffold; Docking studies; Virtual screening030104 developmental biologyProteasomechemistryBiochemistryDocking (molecular)030220 oncology & carcinogenesisDocking studieProteolysisProteasome InhibitorsEuropean journal of medicinal chemistry
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