Search results for "Simulation."

showing 10 items of 4779 documents

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
researchProduct

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
researchProduct

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
researchProduct

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
researchProduct

Exploring the readthrough of nonsense mutations by non-acidic Ataluren analogues selected by ligand-based virtual screening

2016

Abstract Ataluren, also known as PTC124, is a 5-(fluorophenyl)-1,2,4-oxadiazolyl-benzoic acid suggested to suppress nonsense mutations by readthrough of premature stop codons in the mRNA. Potential interaction of PTC124 with mRNA has been recently studied by molecular dynamics simulations highlighting the importance of H-bonding and stacking π−π interactions. A series of non-acidic analogues of PTC124 were selected from a large database via a ligand-based virtual screening approach. Eight of them were synthesized and tested for their readthrough activity using the Fluc reporter harboring the UGA premature stop codon. The most active compound was further tested for suppression of the UGA non…

0301 basic medicineNonsense mutationDrug Evaluation PreclinicalMolecular ConformationCystic Fibrosis Transmembrane Conductance RegulatorMolecular Dynamics SimulationOxadiazolemedicine.disease_causeCftr geneCFTR gene03 medical and health scienceschemistry.chemical_compoundDrug DiscoverymedicineHumansRNA MessengerPharmacologyGeneticsOxadiazolesMessenger RNAVirtual screeningMutationNonsense mutationChemistryDrug Discovery3003 Pharmaceutical ScienceOrganic ChemistryGeneral MedicineLigand (biochemistry)PTCs readthroughMolecular biologyStop codonAtaluren030104 developmental biologyCodon NonsenseCystic fibrosiHeLa CellsEuropean Journal of Medicinal Chemistry
researchProduct

Intermittent targeted therapies and stochastic evolution in patients affected by chronic myeloid leukemia

2016

Front line therapy for the treatment of patients affected by chronic myeloid leukemia (CML) is based on the administration of tyrosine kinase inhibitors, namely imatinib or, more recently, axitinib. Although imatinib is highly effective and represents an example of a successful molecular targeted therapy, the appearance of resistance is observed in a proportion of patients, especially those in advanced stages. In this work, we investigate the appearance of resistance in patients affected by CML, by modeling the evolutionary dynamics of cancerous cell populations in a simulated patient treated by an intermittent targeted therapy. We simulate, with the Monte Carlo method, the stochastic evolu…

0301 basic medicineOncologyDrugStatistics and Probabilitymedicine.medical_specialtymedicine.medical_treatmentmedia_common.quotation_subjectTargeted therapy03 medical and health sciencesClassical Monte Carlo simulations; computational biology; models for evolution (theory); mutational and evolutionary processes (theory); Statistical and Nonlinear Physics; Statistics and Probability; Statistics Probability and Uncertainty0302 clinical medicinecomputational biologyInternal medicinemedicineClassical Monte Carlo simulationmutational and evolutionary processes (theory)media_commonbusiness.industryMyeloid leukemiaStatistical and Nonlinear PhysicsImatinibSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)Axitinib030104 developmental biology030220 oncology & carcinogenesisCancer cellToxicityStatistics Probability and Uncertaintybusinessmodels for evolution (theory)Tyrosine kinasemedicine.drugStatistical and Nonlinear Physic
researchProduct

Free-energy studies reveal a possible mechanism for oxidation-dependent inhibition of MGL

2016

AbstractThe function of monoacylglycerol lipase (MGL), a key actor in the hydrolytic deactivation of the endocannabinoid 2-arachidonoyl-sn-glycerol (2AG), is tightly controlled by the cell’s redox state: oxidative signals such as hydrogen peroxide suppress MGL activity in a reversible manner through sulfenylation of the peroxidatic cysteines, C201 and C208. Here, using as a starting point the crystal structures of human MGL (hMGL), we present evidence from molecular dynamics and metadynamics simulations along with high-resolution mass spectrometry studies indicating that sulfenylation of C201 and C208 alters the conformational equilibrium of the membrane-associated lid domain of MGL to favo…

0301 basic medicineOxidative phosphorylationMolecular Dynamics SimulationRedoxArticle03 medical and health scienceschemistry.chemical_compoundCatalytic DomainHumansCysteineHydrogen peroxideMultidisciplinary030102 biochemistry & molecular biologybiologyHydrogen bondMetadynamicsActive siteSubstrate (chemistry)Hydrogen BondingHydrogen PeroxideMonoacylglycerol LipasesMonoacylglycerol lipase030104 developmental biologyBiochemistrychemistrybiology.proteinBiophysicsThermodynamicsOxidation-ReductionProtein Processing Post-TranslationalProtein BindingScientific Reports
researchProduct

Interference of carbidopa and other catechols with reactions catalyzed by peroxidases

2018

Abstract Background A number of compounds, including ascorbic acid, catecholamines, flavonoids, p-diphenols and hydrazine derivatives have been reported to interfere with peroxidase-based medical diagnostic tests (Trinder reaction) but the mechanisms of these effects have not been fully elucidated. Methods Reactions of bovine myeloperoxidase with o-dianisidine, bovine lactoperoxidase with ABTS and horseradish peroxidase with 4-aminoantipyrine/phenol in the presence of carbidopa, an anti-Parkinsonian drug, and other catechols, including l -dopa, were monitored spectrophotometrically and by measuring hydrogen peroxide consumption. Results Chromophore formation in all three enzyme/substrate sy…

0301 basic medicineParkinson's diseaseBiophysicsCatecholsperoxidaseBiochemistryHorseradish peroxidaseCatalysis03 medical and health scienceschemistry.chemical_compoundmedicineAnimalsHumansLactoperoxidasecarbidopaHydrogen peroxideenzymatic assay interferenceMolecular BiologyHorseradish PeroxidaseCatecholABTS030102 biochemistry & molecular biologybiologyMolecular StructureMonophenol MonooxygenaseLactoperoxidasehydrazineHydrogen PeroxidecatecholAscorbic acidCombinatorial chemistryMolecular Docking Simulation030104 developmental biologychemistryChromogenic CompoundsPeroxidasesCarbidopabiology.proteinParkinson’s diseaseCattleOxidation-Reductionmedicine.drugPeroxidaseBiochimica et Biophysica Acta-General Subjects
researchProduct

Mathematical model of T-cell lymphoblastic lymphoma: disease, treatment, cure or relapse of a virtual cohort of patients

2017

International audience; T lymphoblastic lymphoma (T-LBL) is a rare type of lymphoma with a good prognosis with a remission rate of 85%. Patients can be completely cured or can relapse during or after a 2-year treatment. Relapses usually occur early after the remission of the acute phase. The median time of relapse is equal to 1 year, after the occurrence of complete remission (range 0.2–5.9 years) (Uyttebroeck et al., 2008). It can be assumed that patients may be treated longer than necessary with undue toxicity. The aim of our model was to investigate whether the duration of the maintenance therapy could be reduced without increasing the risk of relapses and to determine the minimum treatm…

0301 basic medicinePediatricsmedicine.medical_specialtymedicine.medical_treatmentPopulation[SDV.CAN]Life Sciences [q-bio]/CancerPrecursor T-Cell Lymphoblastic Leukemia-LymphomachemotherapyGeneral Biochemistry Genetics and Molecular Biology[ SDV.CAN ] Life Sciences [q-bio]/Cancer03 medical and health sciences[ MATH.MATH-AP ] Mathematics [math]/Analysis of PDEs [math.AP][SDV.CAN] Life Sciences [q-bio]/CancerMaintenance therapythymusT-cell lymphoblastic lymphomamedicineHumanscancer[MATH.MATH-AP]Mathematics [math]/Analysis of PDEs [math.AP]Computer Simulationmathematical modelling[MATH.MATH-AP] Mathematics [math]/Analysis of PDEs [math.AP]educationrandomized controlled clinical trialGeneral Environmental SciencePharmacologyChemotherapyeducation.field_of_studyGeneral Immunology and Microbiologybusiness.industryApplied MathematicsGeneral NeuroscienceLymphoblastic lymphomaCancerGeneral MedicineModels Theoreticalmedicine.disease3. Good healthLymphomaSurgeryClinical trial030104 developmental biologyModeling and SimulationCohortDisease ProgressionbusinessMathematical Medicine and Biology
researchProduct

Wavelength selection of rippling patterns in myxobacteria

2016

Rippling patterns of myxobacteria appear in starving colonies before they aggregate to form fruiting bodies. These periodic traveling cell density waves arise from the coordination of individual cell reversals, resulting from an internal clock regulating them, and from contact signaling during bacterial collisions. Here we revisit a mathematical model of rippling in myxobacteria due to Igoshin et al.\ [Proc. Natl. Acad. Sci. USA {\bf 98}, 14913 (2001) and Phys. Rev. E {\bf 70}, 041911 (2004)]. Bacteria in this model are phase oscillators with an extra internal phase through which they are coupled to a mean-field of oppositely moving bacteria. Previously, patterns for this model were obtaine…

0301 basic medicinePeriodicityPhase transitionPhase (waves)FOS: Physical sciencesModels BiologicalMotion03 medical and health sciencesQuantum mechanicsWavenumberComputer SimulationMyxococcalesPhysics - Biological PhysicsCondensed Matter - Statistical MechanicsPhysicsStatistical Mechanics (cond-mat.stat-mech)Kuramoto modelNonlinear systemWavelength030104 developmental biologyClassical mechanicsNonlinear DynamicsMean field theoryBiological Physics (physics.bio-ph)RipplingLinear Models
researchProduct