Search results for "Quantitative Biology - Subcellular Processes"

showing 4 items of 4 documents

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
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Protein search for multiple targets on DNA

2016

Protein-DNA interactions are crucial for all biological processes. One of the most important fundamental aspects of these interactions is the process of protein searching and recognizing specific binding sites on DNA. A large number of experimental and theoretical investigations have been devoted to uncovering the molecular description of these phenomena, but many aspects of the mechanisms of protein search for the targets on DNA remain not well understood. One of the most intriguing problems is the role of multiple targets in protein search dynamics. Using a recently developed theoretical framework we analyze this question in detail. Our method is based on a discrete-state stochastic appro…

Models MolecularQuantitative Biology - Subcellular ProcessesComputer scienceProcess (engineering)Monte Carlo methodBiophysicsGeneral Physics and Astronomy03 medical and health scienceschemistry.chemical_compound0302 clinical medicinePosition (vector)Computer SimulationStatistical physicsPhysical and Theoretical ChemistrySubcellular Processes (q-bio.SC)030304 developmental biologyStochastic Processes0303 health sciencesBinding SitesModels GeneticProtein moleculesProteinsDNAchemistryFOS: Biological sciencesMonte Carlo Method030217 neurology & neurosurgeryDNAProtein BindingThe Journal of Chemical Physics
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Monolayer curvature stabilizes nanoscale raft domains in mixed lipid bilayers

2013

According to the lipid raft hypothesis, biological lipid membranes are laterally heterogeneous and filled with nanoscale ordered "raft" domains, which are believed to play an important role for the organization of proteins in membranes. However, the mechanisms stabilizing such small rafts are not clear, and even their existence is sometimes questioned. Here we report the observation of raft-like structures in a coarse-grained molecular model for multicomponent lipid bilayers. On small scales, our membranes demix into a liquid ordered (lo) and a liquid disordered (ld) phase. On large scales, phase separation is suppressed and gives way to a microemulsion-type state that contains nanometer si…

Models MolecularQuantitative Biology - Subcellular ProcessesLiquid ordered phaseLipid BilayersFOS: Physical sciencesCondensed Matter - Soft Condensed Matter010402 general chemistry01 natural sciences03 medical and health sciencesMembrane MicrodomainsPhase (matter)MonolayerLipid bilayer phase behaviorPhysics - Biological PhysicsLipid bilayerLipid raftSubcellular Processes (q-bio.SC)030304 developmental biology0303 health sciencesMultidisciplinaryChemistryRaftElasticity0104 chemical sciencesCrystallographyMembraneModels ChemicalBiological Physics (physics.bio-ph)FOS: Biological sciencesPhysical SciencesBiophysicsSoft Condensed Matter (cond-mat.soft)lipids (amino acids peptides and proteins)
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Translocation time of periodically forced polymer chains.

2010

6 páginas, 11 figuras.-- PACS number(s): 36.20.-r, 05.40.-a, 87.15.A-, 87.10.-e

Work (thermodynamics)PeriodicityQuantitative Biology - Subcellular ProcessesTime FactorsPolymersGaussianThermal fluctuationsFOS: Physical sciencesChromosomal translocationCondensed Matter - Soft Condensed MatterNoise (electronics)SynchronizationQuantitative Biology::Subcellular Processessymbols.namesakeMotionNanotechnologyStatistical physicsPhysics - Biological PhysicsScalingSubcellular Processes (q-bio.SC)MathematicsPhysics::Biological PhysicsQuantitative Biology::BiomoleculesCondensed matter physicsTemperatureFunction (mathematics)Biological Physics (physics.bio-ph)FOS: Biological sciencessymbolsLinear ModelsSoft Condensed Matter (cond-mat.soft)Physical review. E, Statistical, nonlinear, and soft matter physics
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