Search results for "Computer simulation"

showing 10 items of 1054 documents

The effect of genetic robustness on evolvability in digital organisms

2008

Abstract Background Recent work has revealed that many biological systems keep functioning in the face of mutations and therefore can be considered genetically robust. However, several issues related to robustness remain poorly understood, such as its implications for evolvability (the ability to produce adaptive evolutionary innovations). Results Here, we use the Avida digital evolution platform to explore the effects of genetic robustness on evolvability. First, we obtained digital organisms with varying levels of robustness by evolving them under combinations of mutation rates and population sizes previously shown to select for different levels of robustness. Then, we assessed the abilit…

Mutation rateGenetic robustnessDigital organismsGenotypeEvolutionUNESCO::CIENCIAS DE LA VIDA::Otras especialidades de la biologíaPopulationAdaptation BiologicalEvolutionary innovationsBiologyEvolution MolecularQH359-425Computer SimulationSelection GeneticeducationEcology Evolution Behavior and Systematicseducation.field_of_studyGenetic diversityAnalysis of VarianceModels GeneticRobustness (evolution)EvolvabilityGenetic robustness; Digital organisms; Evolutionary innovationsGenetics PopulationPhenotypeEvolutionary biologyMutationTraitRna foldingAvida:CIENCIAS DE LA VIDA::Otras especialidades de la biología [UNESCO]Research ArticleBMC Evolutionary Biology
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Drug connectivity mapping and functional analysis reveal therapeutic small molecules that differentially modulate myelination

2022

Disruption or loss of oligodendrocytes (OLs) and myelin has devastating effects on CNS function and integrity, which occur in diverse neurological disorders, including Multiple Sclerosis (MS), Alzheimer’s disease and neuropsychiatric disorders. Hence, there is a need to develop new therapies that promote oligodendrocyte regeneration and myelin repair. A promising approach is drug repurposing, but most agents have potentially contrasting biological actions depending on the cellular context and their dose-dependent effects on intracellular pathways. Here, we have used a combined systems biology and neurobiological approach to identify compounds that exert positive and negative effects on olig…

MyelinMiceMyelin SheathNSC Neural stem cellSystems BiologyOPC Oligodendrocyte progenitor cellHigh-Throughput Nucleotide SequencingLINCS The Library of Integrated Network-based Cellular SignaturesCell DifferentiationGeneral MedicineCNS Central Nervous SystemOligodendrogliamedicine.anatomical_structureOligodendrogenesisNFOL Newly formed oligodendrocyteOL OligodendrocyteSignal TransductionSubventricular zoneOptic nerveIn silicoSystems biologyMorpholinesSVZ subventricular zoneContext (language use)RM1-950BiologyArticlemedicinePharmacogenomics The Library of Integrated Network-Based Cellular Signatures/LINCSAnimalsH-LY29 High concentration of LY294002Computer SimulationPI3K/AKT/mTOR pathwayL-LY29 Low concentration of LY294002PharmacologyPI3K/AktTCN TriciribineDose-Response Relationship DrugRegeneration (biology)Multiple sclerosismedicine.diseaseOligodendrocyteOligodendrocyteiNSCs iPSC-derived NSCsTAPs Transiently amplifying progenitorsMice Inbred C57BLMS Multiple SclerosisiPCS induced Pluripotent Stem CellChromonesPharmacogeneticsTherapeutics. PharmacologyMOL Myelinating oligodendrocyteNeuroscienceBiomedicine & Pharmacotherapy
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Surrogate Data Analysis for Assessing the Significance of the Coherence Function

2004

In cardiovascular variability analysis, the significance of the coupling between two time series is commonly assessed by setting a threshold level in the coherence function. While traditionally used statistical tests consider only the parameters of the adopted estimator, the required zero-coherence level may be affected by some features of the observed series. In this study, three procedures, based on the generation of surrogate series sharing given properties with the original but being structurally uncoupled, were considered: independent identically distributed (IID), Fourier transform (FT), and autoregressive (AR). IID surrogates maintained the distribution of the original series, while …

Myocardial InfarctionBiomedical EngineeringBlood PressureSurrogate dataSpectral analysisymbols.namesakeHeart RateStatisticsCoherence functionHumansCoherence (signal processing)Computer SimulationStatistical physicsCoupling significanceSpurious relationshipMathematicsStatistical hypothesis testingRespirationModels CardiovascularSpectral densityEstimatorCardiovascular variabilityFourier transformAutoregressive modelData Interpretation StatisticalsymbolsRegression AnalysisSurrogate dataAlgorithmsIEEE Transactions on Biomedical Engineering
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Spectral broadening of the Soret band in myoglobin: an interpretation by the full spectrum of low-frequency modes from a normal modes analysis.

2005

In this work the temperature dependence of the Soret band line shape in carbon-monoxy myoglobin is re-analyzed by using both the full correlator approach in the time domain and the frequency domain approach. The new analyses exploit the full density of vibrational states of carbon-monoxy myoglobin available from normal modes analysis, and avoid the artificial division of the entire set of vibrational modes coupled to the Soret transition into "high-frequency" and "low-frequency" subsets; the frequency domain analysis, however, makes use of the so-called short-times approximation, while the time domain one avoids it. Time domain and frequency domain analyses give very similar results, thus s…

Myoglobin Molecular Dynamics Simulation active siteChemistryMyoglobinSpectrum AnalysisAnharmonicityBiophysicsAnalytical chemistryTemperatureGeneral MedicineMolecular physicsVibrationSpectral lineModels ChemicalNormal modeMolecular vibrationFrequency domainComputer SimulationTime domainHarmonic oscillatorDoppler broadeningEuropean biophysics journal : EBJ
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Dendritic Ih selectively blocks temporal summation of unsynchronized distal inputs in CA1 pyramidal neurons.

2004

The active dendritic conductances shape the input-output properties of many principal neurons in different brain regions, and the various ways in which they regulate neuronal excitability need to be investigated to better understand their functional consequences. Using a realistic model of a hippocampal CA1 pyramidal neuron, we show a major role for the hyperpolarization-activated current, I-h, in regulating the spike probability of a neuron when independent synaptic inputs are activated with different degrees of synchronization and at different distances from the soma. The results allowed us to make the experimentally testable prediction that the I-h in these neurons is needed to reduce ne…

N-MethylaspartateTime FactorsComputer scienceCognitive NeuroscienceModels NeurologicalNeural ConductionHippocampal formationSummationHippocampusSynaptic TransmissionCA1Cellular and Molecular NeurosciencemedicineExcitatory Amino Acid AgonistsAnimalsComputer Simulationalpha-Amino-3-hydroxy-5-methyl-4-isoxazolepropionic AcidI-hProbabilityCa1 pyramidal neuronPyramidal CellsExcitatory Postsynaptic PotentialsReproducibility of ResultsmodelingDendritesSensory Systemsdendritic integrationmedicine.anatomical_structurenervous systemSomaNeuronNeuroscience
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Biomolecular conjugation inside synthetic polymer nanopores via glycoprotein-lectin interactions

2011

We demonstrate the supramolecular bioconjugation of concanavalin A (Con A) protein with glycoenzyme horseradish peroxidase (HRP) inside single nanopores, fabricated in heavy ion tracked polymer membranes. Firstly, the HRP-enzyme was covalently immobilized on the inner wall of the pores using carbodiimide coupling chemistry. The immobilized HRP-enzyme molecules bear sugar (mannose) groups available for the binding of Con A protein. Secondly, the bioconjugation of Con A on the pore wall was achieved through its biospecific interactions with the mannose residues of the HRP enzyme. The immobilization of biomolecules inside the nanopore leads to the reduction of the available area for ionic tran…

NanometresSynthetic membraneTransport equationNanoporesInformation processingRectification propertiesCylinders (shapes)Materials TestingConcanavalin AGeneral Materials ScienceFunctional polymersConical nanoporeschemistry.chemical_classificationChemistryBlocking effectElectric rectifiersComputer simulationEnzymesData processingNanoporeEnzyme moleculesFunctional polymersMolecular imprintingPorosityBio-molecularInner wallsMolecular imprintingSupramolecular chemistryNanotechnologyHorseradish peroxidaseIonic transportsNanocapsulesBio-conjugationMoleculeParticle SizeAqueous solutionsGlycoproteinsBiomoleculesBioconjugationBiomoleculeNanostructuresModel simulationChemical engineeringModels ChemicalPolymer membraneConductance stateFISICA APLICADABiospecific interactionSynthetic polymersSugarsSupramolecular chemistryPore wallCarbodiimide-coupling chemistry
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Molecular dynamics simulations of capillary rise experiments in nanotubes coated with polymer brushes.

2007

The capillary filling of a nanotube coated with a polymer brush is studied by molecular dynamics simulations of a coarse-grained model, assuming various conditions for the fluid-wall and fluid-brush interactions. Whereas the fluid is modeled by simple point particles interacting with Lennard-Jones forces, the (end-grafted, fully flexible) polymers that form the brush coating are described by a standard bead-spring model. Our experiments reveal that capillary filling is observed even for walls that would not be wetted by the fluid, provided the polymer brush coating itself wets. Generally, it is found that the capillary rise always proceeds through a t1/2 law with time t while the underlying…

NanotubeCapillary actionPolymersSurface PropertiesNanotechnologyengineering.materialPolymer brushMolecular dynamicsCoatingElectrochemistryGeneral Materials ScienceComputer SimulationParticle SizeSpectroscopychemistry.chemical_classificationNanotubesDrop (liquid)Surfaces and InterfacesPolymerCondensed Matter PhysicsKineticschemistryModels ChemicalChemical physicsengineeringPorous mediumCapillary ActionLangmuir : the ACS journal of surfaces and colloids
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Launching propagating surface plasmon polaritons by a single carbon nanotube dipolar emitter.

2011

International audience; We report on the excitation of propagating surface plasmon polaritons in thin metal films by a single emitter. Upon excitation in the visible regime, individual semiconducting single-walled carbon nanotubes are shown to act as directional near-infrared point dipole sources launching propagating surface plasmons mainly along the direction of the nanotube axis. Plasmon excitation and propagation is monitored in Fourier and real space by leakage radiation microscopy and is modeled by rigorous theoretical calculations. Coupling to plasmons almost completely reshapes the emission of nanotubes both spatially and with respect to polarization as compared to photoluminescence…

NanotubeMaterials scienceLightPhysics::OpticsBioengineering02 engineering and technologyCarbon nanotube7. Clean energy01 natural sciencesMolecular physicslaw.invention010309 opticsCondensed Matter::Materials Sciencelaw0103 physical sciencesMaterials TestingScattering RadiationGeneral Materials ScienceComputer Simulation[SPI.NANO]Engineering Sciences [physics]/Micro and nanotechnologies/MicroelectronicsParticle SizePlasmonbusiness.industryMechanical EngineeringSurface plasmonGeneral ChemistrySurface Plasmon Resonance021001 nanoscience & nanotechnologyCondensed Matter PhysicsPolarization (waves)Surface plasmon polaritonNanostructuresOptical properties of carbon nanotubesModels ChemicalMetalsOptoelectronics[ SPI.NANO ] Engineering Sciences [physics]/Micro and nanotechnologies/Microelectronics0210 nano-technologybusinessExcitationNano letters
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The generalized plane piezoelectric problem: Theoretical formulation and application to heterostructure nanowires

2016

We present a systematic methodology for the reformulation of a broad class of three-dimensional (3D) piezoelectric problems into a two-dimensional (2D) mathematical form. The sole underlying hypothesis is that the system geometry and material properties as well as the applied loads (forces and charges) and boundary conditions are translationally invariant along some direction. This class of problems is commonly denoted here as the generalized plane piezoelectric (GPP) problem. The first advantage of the generalized plane problems is that they are more manageable from both analytical and computational points of view. Moreover, they are flexible enough to accommodate any geometric cross secti…

NanowireFOS: Physical sciences02 engineering and technologyPhysics - Classical Physics01 natural sciencesCondensed Matter::Materials ScienceElectric fieldMesoscale and Nanoscale Physics (cond-mat.mes-hall)0103 physical sciencesGeneral Materials ScienceBoundary value problemSimulationPlane stress010302 applied physicsPhysicsCondensed Matter - Materials ScienceComputer simulationCondensed Matter - Mesoscale and Nanoscale PhysicsApplied MathematicsMechanical EngineeringMathematical analysisMaterials Science (cond-mat.mtrl-sci)Classical Physics (physics.class-ph)Invariant (physics)021001 nanoscience & nanotechnologyCondensed Matter PhysicsPiezoelectricityMechanics of MaterialsModeling and Simulation0210 nano-technologyMaterial properties
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Analysis and simulation of creativity learning by means of artificial neural networks

2007

The paper presents a new neural network approach for analysis and simulation of creative behavior. The used concept of Dynamically Controlled Neural Gas (DyCoNG) entails a combination of Dynamically Controlled Network [Perl, J. (2004a). A neural network approach to movement pattern analysis. Human Movement Science,23, 605-620] and Growing Neural Gas (Fritzke, 1995) by quality neurons. A quality neuron reflects the rareness of a piece of information and therefore can measure the originality of a recorded activity that was assigned to the neuron during the network training. The DyCoNG approach was validated using data from a longitudinal field-based study. The creative behavior of 42 particip…

Neural gasProcess (engineering)media_common.quotation_subjectBiophysicsExperimental and Cognitive PsychologyMachine learningcomputer.software_genreNetwork simulationCreativityArtificial IntelligenceHumansLearningComputer SimulationOrthopedics and Sports Medicinecomputer.programming_languagemedia_commonArtificial neural networkbusiness.industryGeneral MedicineCreativityPattern recognition (psychology)Neural Networks ComputerArtificial intelligencePerlbusinessPsychologycomputerNervous system network modelsHuman Movement Science
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