Search results for "SIM"

showing 10 items of 10139 documents

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
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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
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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
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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
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Bioactive extracts from persimmon waste: influence of extraction conditions and ripeness

2021

In this work, a bioactive persimmon extract was produced from discarded fruits. A central composite design was used to evaluate the effect of different extraction parameters and ripeness stages of persimmon fruits on the total phenolic content and antioxidant activity of the resulting extracts. Significantly greater phenolic contents were obtained from immature persimmon (IP) fruits. The optimum IP extract with the conditions set by the experimental design was industrially up-scaled and its composition and functional properties were evaluated and compared with those obtained under lab-scale conditions. Both extracts contained significant protein (>20%) and phenolic contents (∼11–27 mg GA/g …

0301 basic medicinePersimmon663/664AntioxidantCentral composite designFood HandlingExtractmedicine.medical_treatmentved/biology.organism_classification_rank.speciesPhenolic contentRipenessAntiviral AgentsAntioxidantsMice03 medical and health sciences0404 agricultural biotechnologyPhenolsAntioxidant activitymedicineAnimalsPersimmon extractFood scienceCaenorhabditis elegansWaste Products030109 nutrition & dieteticsPlant Extractsved/biologyChemistryNorovirusExtraction (chemistry)Proteins04 agricultural and veterinary sciencesGeneral MedicineDiospyros040401 food scienceVirusDisease Models AnimalFruitaToxicityComposition (visual arts)Food ScienceMurine norovirusFood & Function
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Pharmacogenomics of Scopoletin in Tumor Cells

2016

Drug resistance and the severe side effects of chemotherapy necessitate the development of novel anticancer drugs. Natural products are a valuable source for drug development. Scopoletin is a coumarin compound, which can be found in several Artemisia species and other plant genera. Microarray-based RNA expression profiling of the NCI cell line panel showed that cellular response of scopoletin did not correlate to the expression of ATP-binding cassette (ABC) transporters as classical drug resistance mechanisms (ABCB1, ABCB5, ABCC1, ABCG2). This was also true for the expression of the oncogene EGFR and the mutational status of the tumor suppressor gene, TP53. However, mutations in the RAS onc…

0301 basic medicinePharmaceutical ScienceATP-binding cassette transporterDrug resistancePharmacologycoumarinAnalytical Chemistrychemistry.chemical_compound0302 clinical medicineNeoplasmsDrug DiscoveryABC-transportermicroarraysNF-kappa BABCB5Drug Resistance MultipleGene Expression Regulation NeoplasticMolecular Docking SimulationDrug developmentChemistry (miscellaneous)030220 oncology & carcinogenesisherbal medicineMolecular MedicineSignal TransductionTumor suppressor geneProtein Array AnalysisBiologyArticlelcsh:QD241-44103 medical and health scienceslcsh:Organic chemistrymultidrug resistanceCell Line TumorScopoletinHumansPhysical and Theoretical ChemistryTranscription factorScopoletinOncogenePlant ExtractsOrganic ChemistryTranscription Factor RelAphytotherapy030104 developmental biologyArtemisiachemistryDrug Resistance NeoplasmPharmacogeneticsCancer researchABC-transporter; cluster analysis; coumarin; herbal medicine; microarrays; multidrug resistance; phytotherapyATP-Binding Cassette Transporterscluster analysisMolecules
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Treatment of Multidrug-Resistant Leukemia Cells by Novel Artemisinin-, Egonol-, and Thymoquinone-Derived Hybrid Compounds

2018

Two major obstacles for successful cancer treatment are the toxicity of cytostatics and the development of drug resistance in cancer cells during chemotherapy. Acquired or intrinsic drug resistance is responsible for almost 90% of treatment failure. For this reason, there is an urgent need for new anticancer drugs with improved efficacy against cancer cells, and with less toxicity on normal cells. There are impressive examples demonstrating the success of natural plant compounds to fight cancer, such as Vinca alkaloids, taxanes, and anthracyclines. Artesunic acid (ARTA), a drug for malaria treatment, also exerts cytotoxic activity towards cancer cells. Multidrug resistance often results fro…

0301 basic medicinePharmaceutical ScienceDrug resistancePharmacologychemotherapyAnalytical Chemistry0302 clinical medicineartemisinin egonol thymoquinone hybridsDrug DiscoveryBenzoquinonesCytotoxic T cellCytotoxicitymedia_commonLeukemiaChemistryNaturwissenschaftliche FakultätArtemisininsDrug Resistance MultipleGene Expression Regulation NeoplasticMolecular Docking SimulationChemistry (miscellaneous)030220 oncology & carcinogenesisddc:540multi-drug resistanceMolecular Medicinemedicine.drugDrugCell Survivalmedia_common.quotation_subjectAntineoplastic AgentsArticlelcsh:QD241-44103 medical and health scienceslcsh:Organic chemistryCell Line TumormedicineHumansDoxorubicinPhysical and Theoretical Chemistrychemotherapy; multi-drug resistance; artemisinin egonol thymoquinone hybridsCell ProliferationOrganic ChemistryCancerSuccinatesmedicine.diseaseMultiple drug resistance030104 developmental biologyDoxorubicinDrug Resistance NeoplasmCancer cellATP-Binding Cassette TransportersMolecules
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Modeling Chronic Toxicity: A Comparison of Experimental Variability With (Q)SAR/Read-Across Predictions

2018

This study compares the accuracy of (Q)SAR/read-across predictions with the experimental variability of chronic lowest-observed-adverse-effect levels (LOAELs) from in vivo experiments. We could demonstrate that predictions of the lazy structure-activity relationships (lazar) algorithm within the applicability domain of the training data have the same variability as the experimental training data. Predictions with a lower similarity threshold (i.e., a larger distance from the applicability domain) are also significantly better than random guessing, but the errors to be expected are higher and a manual inspection of prediction results is highly recommended.

0301 basic medicinePharmacologyTraining setlazarbusiness.industrylcsh:RM1-950Pattern recognition010501 environmental sciences01 natural sciencesexperimental variability(Q)SAR03 medical and health sciences030104 developmental biologylcsh:Therapeutics. PharmacologySimilarity (network science)Pharmacology (medical)Artificial intelligencebusinessChronic toxicityLOAEL0105 earth and related environmental sciencesApplicability domainMathematicsread-acrossFrontiers in Pharmacology
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Physical mechanisms of micro- and nanodomain formation in multicomponent lipid membranes.

2016

This article summarizes a variety of physical mechanisms proposed in the literature, which can generate micro- and nanodomains in multicomponent lipid bilayers and biomembranes. It mainly focusses on lipid-driven mechanisms that do not involve direct protein-protein interactions. Specifically, it considers (i) equilibrium mechanisms based on lipid-lipid phase separation such as critical cluster formation close to critical points, and multiple domain formation in curved geometries, (ii) equilibrium mechanisms that stabilize two-dimensional microemulsions, such as the effect of linactants and the effect of curvature-composition coupling in bilayers and monolayers, and (iii) non-equilibrium me…

0301 basic medicinePhase transitionCytoplasmCritical phenomenaLipid BilayersBiophysicsFOS: Physical sciencesCondensed Matter - Soft Condensed MatterMolecular Dynamics SimulationBiochemistryPhase TransitionQuantitative Biology::Subcellular Processes03 medical and health sciencesSurface-Active AgentsMembrane MicrodomainsMonolayerCluster (physics)AnimalsHumansMicroemulsionPhysics - Biological PhysicsLipid bilayerPhysics::Biological PhysicsBacteriaChemistryBiological membraneCell BiologyCrystallographyActin CytoskeletonKinetics030104 developmental biologyMembraneBiological Physics (physics.bio-ph)Chemical physicsSoft Condensed Matter (cond-mat.soft)ThermodynamicsEmulsionsSignal TransductionBiochimica et biophysica acta. Biomembranes
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Intramolecular structural parameters are key modulators of the gel-liquid transition in coarse grained simulations of DPPC and DOPC lipid bilayers

2018

The capability of coarse-grained models based on the MARTINI mapping to reproduce the gel-liquid phase transition in saturated and unsaturated model lipids was investigated. We found that the model is able to reproduce a lower critical temperature for 1,2-dioleoyl-sn-glycero-3-phosphocholine (DOPC) with respect to 1,2-dipalmitoyl-sn-glycero-3-phosphocholine (DPPC). Nonetheless, the appearance of a gel phase for DOPC is strictly dependent on the intramolecular parameters chosen to model its molecular structure. In particular, we show that the bending angle at the coarse-grained bead corresponding to the unsaturated carbon-carbon bond acts as an order parameter determining the temperature of …

0301 basic medicinePhase transitionMolecular dynamic12-DipalmitoylphosphatidylcholineLipid BilayersMolecular ConformationBiophysicsBendingMolecular Dynamics SimulationMolecular dynamics01 natural sciencesBiochemistry03 medical and health sciencesMolecular dynamicsPhase (matter)BiomembranesBiomembrane0103 physical sciencesMoleculeLipid bilayerMolecular BiologyMulti-scalePhase transitionMARTINI010304 chemical physicsChemistryTransition temperatureTemperatureCell BiologyCrystallography030104 developmental biologyChemical physicsIntramolecular forcePhosphatidylcholinesBiomembranes; MARTINI; Molecular dynamics; Multi-scale; Phase transition; Biophysics; Biochemistry; Molecular Biology; Cell Biology
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