Search results for "Quantitative Biology"

showing 10 items of 1025 documents

An Extended Filament Based Lamellipodium Model Produces Various Moving Cell Shapes in the Presence of Chemotactic Signals

2015

The Filament Based Lamellipodium Model (FBLM) is a two-phase two-dimensional continuum model, describing the dynamcis of two interacting families of locally parallel actin filaments (C.Schmeiser and D.Oelz, How do cells move? Mathematical modeling of cytoskeleton dynamics and cell migration. Cell mechanics: from single scale-based models to multiscale modeling. Chapman and Hall, 2010). It contains accounts of the filaments' bending stiffness, of adhesion to the substrate, and of cross-links connecting the two families. An extension of the model is presented with contributions from nucleation of filaments by branching, from capping, from contraction by actin-myosin interaction, and from a pr…

Statistics and ProbabilityNucleationNanotechnologymacromolecular substancesMyosinsBranching (polymer chemistry)Models BiologicalGeneral Biochemistry Genetics and Molecular BiologyPolymerizationQuantitative Biology::Cell BehaviorProtein filamentQuantitative Biology::Subcellular ProcessesCell Behavior (q-bio.CB)CoulombAnimalsComputer SimulationPseudopodiaCytoskeletonCell ShapeActinPhysicsGeneral Immunology and MicrobiologyApplied MathematicsChemotaxisChemotaxisNumerical Analysis Computer-AssistedGeneral Medicine92C17Actin CytoskeletonClassical mechanicsModeling and SimulationFOS: Biological sciencesQuantitative Biology - Cell BehaviorLamellipodiumGeneral Agricultural and Biological SciencesSignal Transduction
researchProduct

The Concept of Duality and Applications to Markov Processes Arising in Neutral Population Genetics Models

1999

One possible and widely used definition of the duality of Markov processes employs functions H relating one process to another in a certain way. For given processes X and Y the space U of all such functions H, called the duality space of X and Y, is studied in this paper. The algebraic structure of U is closely related to the eigenvalues and eigenvectors of the transition matrices of X and Y. Often as for example in physics (interacting particle systems) and in biology (population genetics models) dual processes arise naturally by looking forwards and backwards in time. In particular, time-reversible Markov processes are self-dual. In this paper, results on the duality space are presented f…

Statistics and ProbabilityParticle systemPure mathematicsAlgebraic structurePopulation sizeMarkov processDuality (optimization)Space (mathematics)Dual (category theory)Combinatoricssymbols.namesakesymbolsQuantitative Biology::Populations and EvolutionEigenvalues and eigenvectorsMathematicsBernoulli
researchProduct

Dynamics of the Selkov oscillator.

2018

A classical example of a mathematical model for oscillations in a biological system is the Selkov oscillator, which is a simple description of glycolysis. It is a system of two ordinary differential equations which, when expressed in dimensionless variables, depends on two parameters. Surprisingly it appears that no complete rigorous analysis of the dynamics of this model has ever been given. In this paper several properties of the dynamics of solutions of the model are established. With a view to studying unbounded solutions a thorough analysis of the Poincar\'e compactification of the system is given. It is proved that for any values of the parameters there are solutions which tend to inf…

Statistics and ProbabilityPeriodicityQuantitative Biology - Subcellular ProcessesClassical exampleFOS: Physical sciencesDynamical Systems (math.DS)01 natural sciencesModels BiologicalGeneral Biochemistry Genetics and Molecular Biology010305 fluids & plasmassymbols.namesake0103 physical sciencesFOS: MathematicsPhysics - Biological PhysicsMathematics - Dynamical Systems0101 mathematicsSubcellular Processes (q-bio.SC)MathematicsGeneral Immunology and MicrobiologyCompactification (physics)Applied Mathematics010102 general mathematicsMathematical analysisGeneral MedicineMathematical ConceptsKineticsMonotone polygonBiological Physics (physics.bio-ph)FOS: Biological sciencesModeling and SimulationBounded functionOrdinary differential equationPoincaré conjecturesymbolsGeneral Agricultural and Biological SciencesGlycolysisDimensionless quantityMathematical biosciences
researchProduct

Tuning active Brownian motion with shot noise energy pulses

2009

The main aim of this work is to explore the possibility of modeling the biological energy support mediated by absorption of ATP (adenosine triphosphate) as an energetic shot noise. We develop a general model with discrete input of energy pulses and study shot-noise-driven ratchets. We consider these ratchets as prototypes of Brownian motors driven by energy-rich ATP molecules. Our model is a stochastic machine able to acquire energy from the environment and convert it into kinetic energy of motion. We present characteristic features and demonstrate the possibility of tuning these motors by adapting the mean frequency of the discrete energy inputs, which are described as a special shot noise…

Statistics and ProbabilityPhysicsPhysics::Biological PhysicsWork (thermodynamics)driven diffusive systems (theory) stochastic particle dynamics (theory) molecular motors (theory) molecular dynamics BRonian motion Fluctuation phenomenaShot noiseStatistical and Nonlinear PhysicsKinetic energyBrownian motorQuantitative Biology::Subcellular ProcessesClassical mechanicsMolecular motorStatistical physicsStatistics Probability and UncertaintyAbsorption (electromagnetic radiation)Energy (signal processing)Brownian motion
researchProduct

Noise driven translocation of short polymers in crowded solutions

2008

In this work we study the noise induced effects on the dynamics of short polymers crossing a potential barrier, in the presence of a metastable state. An improved version of the Rouse model for a flexible polymer has been adopted to mimic the molecular dynamics by taking into account both the interactions between adjacent monomers and introducing a Lennard-Jones potential between all beads. A bending recoil torque has also been included in our model. The polymer dynamics is simulated in a two-dimensional domain by numerically solving the Langevin equations of motion with a Gaussian uncorrelated noise. We find a nonmonotonic behaviour of the mean first passage time and the most probable tran…

Statistics and ProbabilityPhysicschemistry.chemical_classificationQuantitative Biology::BiomoleculesStatistical Mechanics (cond-mat.stat-mech)Thermal fluctuationsEquations of motionFOS: Physical sciencesdynamics (theory) mechanical properties (DNA RNA membranes bio-polymers) (theory) Brownian MotionStatistical and Nonlinear PhysicsContext (language use)PolymerNoise (electronics)Condensed Matter::Soft Condensed MatterMolecular dynamicschemistryChemical physicsRectangular potential barrierStatistics Probability and UncertaintyFirst-hitting-time modelCondensed Matter - Statistical Mechanics
researchProduct

A nonstationary cylinder-based model describing group dispersal in a fragmented habitat

2014

International audience; A doubly nonstationary cylinder-based model is built to describe the dispersal of a population from a point source. In this model, each cylinder represents a fraction of the population, i.e., a group. Two contexts are considered: The dispersal can occur in a uniform habitat or in a fragmented habitat described by a conditional Boolean model. After the construction of the models, we investigate their properties: the first and second order moments, the probability that the population vanishes, and the distribution of the spatial extent of the population.

Statistics and ProbabilityPoint sourcePopulation92D25Spatial extentFragmentationStatisticsRandom cylinder92D30CylinderQuantitative Biology::Populations and EvolutionObject-based model[INFO]Computer Science [cs]Statistical physics60D05[MATH]Mathematics [math]educationMathematics60G60ta112education.field_of_studyBoolean modelApplied MathematicsFragmentation (computing)Boolean modelDispersal60K37HabitatModeling and Simulation60K9992D40Biological dispersalPopulation vanishing60G55Distribution (differential geometry)
researchProduct

Ancestral processes in population genetics-the coalescent.

2000

A special stochastic process, called the coalescent, is of fundamental interest in population genetics. For a large class of population models this process is the appropriate tool to analyse the ancestral structure of a sample of n individuals or genes, if the total number of individuals in the population is sufficiently large. A corresponding convergence theorem was first proved by Kingman in 1982 for the Wright-Fisher model and the Moran model. Generalizations to a large class of exchangeable population models and to models with overlying mutation processes followed shortly later. One speaks of the "robustness of the coalescent, as this process appears in many models as the total populati…

Statistics and ProbabilityPopulationIdealised populationPopulation DynamicsWatterson estimatorPopulation geneticsBiologyGeneral Biochemistry Genetics and Molecular BiologyCoalescent theoryEconometricsQuantitative Biology::Populations and EvolutionAnimalsSelection GeneticeducationRecombination Geneticeducation.field_of_studyStochastic ProcessesModels StatisticalGeneral Immunology and MicrobiologyModels GeneticStochastic processApplied MathematicsRobustness (evolution)General MedicinePopulation modelEvolutionary biologyModeling and SimulationMutationGeneral Agricultural and Biological SciencesJournal of theoretical biology
researchProduct

Global stability of protein folding from an empirical free energy function

2013

The principles governing protein folding stand as one of the biggest challenges of Biophysics. Modeling the global stability of proteins and predicting their tertiary structure are hard tasks, due in part to the variety and large number of forces involved and the difficulties to describe them with sufficient accuracy. We have developed a fast, physics-based empirical potential, intended to be used in global structure prediction methods. This model considers four main contributions: Two entropic factors, the hydrophobic effect and configurational entropy, and two terms resulting from a decomposition of close-packing interactions, namely the balance of the dispersive interactions of folded an…

Statistics and ProbabilityProtein FoldingEmpirical potential for proteinsConfiguration entropyPROTCALBioinformaticsGeneral Biochemistry Genetics and Molecular BiologyForce field (chemistry)Protein structureStatistical physicsDatabases ProteinQuantitative Biology::BiomoleculesModels StatisticalFoldXGeneral Immunology and MicrobiologyApplied MathematicsProteinsReproducibility of ResultsGeneral MedicineProtein tertiary structureProtein Structure TertiaryPrediction of protein folding stabilityModeling and SimulationLinear ModelsThermodynamicsProtein foldingGeneral Agricultural and Biological SciencesStatistical potentialAlgorithmsSoftwareTest dataJournal of Theoretical Biology
researchProduct

Remarks on ergodicity and invariant occupation measure in branching diffusions with immigration☆

2005

Abstract We give a necessary and sufficient condition for ergodicity with finite invariant occupation measure for branching diffusions with immigration. We do not assume uniformly subcritial reproduction means. We discuss the structure of the invariant occupation measure and of its density.

Statistics and ProbabilityPure mathematicsProbability theoryErgodicityMathematical analysisQuantitative Biology::Populations and EvolutionInvariant measureStatistics Probability and UncertaintyInvariant (mathematics)Ergodic processResolventMathematicsAnnales de l'Institut Henri Poincare (B) Probability and Statistics
researchProduct

A Bayesian SIRS model for the analysis of respiratory syncytial virus in the region of Valencia, Spain

2014

We present a Bayesian stochastic susceptible-infected-recovered-susceptible (SIRS) model in discrete time to understand respiratory syncytial virus dynamics in the region of Valencia, Spain. A SIRS model based on ordinary differential equations has also been proposed to describe RSV dynamics in the region of Valencia. However, this continuous-time deterministic model is not suitable when the initial number of infected individuals is small. Stochastic epidemic models based on a probability of disease transmission provide a more natural description of the spread of infectious diseases. In addition, by allowing the transmission rate to vary stochastically over time, the proposed model provides…

Statistics and ProbabilityTransmission rateBayesian probabilityPosterior probabilityPrediction intervalGeneral MedicineDiscrete time and continuous timePosterior predictive distributionOrdinary differential equationQuantitative Biology::Populations and EvolutionApplied mathematicsStatistics Probability and UncertaintyDisease transmissionMathematicsBiometrical Journal
researchProduct