Search results for "General Agricultural and Biological Sciences"

showing 10 items of 1320 documents

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
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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
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An approximation to maximum likelihood estimates in reduced models

1990

SUMMARY An approximation to the maximum likelihood estimates of the parameters in a model can be obtained from the corresponding estimates and information matrices in an extended model, i.e. a model with additional parameters. The approximation is close provided that the data are consistent with the first model. Applications are described to log linear models for discrete data, to models for multivariate normal distributions with special covariance matrices and to mixed discrete-continuous models.

Statistics and ProbabilityRestricted maximum likelihoodApplied MathematicsGeneral MathematicsMaximum likelihoodMultivariate normal distributionMaximum likelihood sequence estimationCovarianceAgricultural and Biological Sciences (miscellaneous)Extended modelStatisticsExpectation–maximization algorithmLog-linear modelStatistics Probability and UncertaintyGeneral Agricultural and Biological SciencesMathematicsBiometrika
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Antibacterial Activity of Flavonoids Against Methicillin-resistant Staphylococcus aureus strains

2000

An experimental and theoretical study was performed on the anti-staphylococcal activity of 18 natural and synthetic flavonoids against methicillin-resistant Staphylococcus aureus strains. The analysed flavonoids belong to three well-differentiated structural patterns: chalcones, flavanones and flavones. The quantitative analysis of the anti-staphylococcal activity of the compounds was carried out by determining their percent inhibition degree. The hierarchical cluster analysis method was used to analyse the anti-MRSA activity of the compounds. With this methodology, the flavonoids were classified into four groups according to their anti-staphylococcal activity (high, sufficient, intermediat…

Statistics and ProbabilityStaphylococcus aureusChalconeStereochemistryFlavonoidMicrobial Sensitivity Testsmedicine.disease_causeFlavonesGeneral Biochemistry Genetics and Molecular BiologyStructure-Activity Relationshipchemistry.chemical_compoundChalconemedicineAnimalsCluster AnalysisHumansStructure–activity relationshipFlavonoidschemistry.chemical_classificationGeneral Immunology and MicrobiologyApplied MathematicsGeneral MedicineStaphylococcal InfectionsMethicillin-resistant Staphylococcus aureusAnti-Bacterial AgentschemistryBiochemistryStaphylococcus aureusModeling and SimulationMethicillin ResistanceGeneral Agricultural and Biological SciencesAntibacterial activityQuantitative analysis (chemistry)Journal of Theoretical Biology
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Misinterpretation risks of global stochastic optimisation of kinetic models revealed by multiple optimisation runs

2016

Abstract One of use cases for metabolic network optimisation of biotechnologically applied microorganisms is the in silico design of new strains with an improved distribution of metabolic fluxes. Global stochastic optimisation methods (genetic algorithms, evolutionary programing, particle swarm and others) can optimise complicated nonlinear kinetic models and are friendly for unexperienced user: they can return optimisation results with default method settings (population size, number of generations and others) and without adaptation of the model. Drawbacks of these methods (stochastic behaviour, undefined duration of optimisation, possible stagnation and no guaranty of reaching optima) cau…

Statistics and ProbabilitySucroseMathematical optimizationComputer scienceSystems biology0206 medical engineeringMetabolic network02 engineering and technologyModels BiologicalGeneral Biochemistry Genetics and Molecular Biology03 medical and health sciencesYeastsConvergence (routing)HomeostasisUse caseLimit (mathematics)030304 developmental biologyStochastic Processes0303 health sciencesGeneral Immunology and MicrobiologyApplied MathematicsParticle swarm optimizationGeneral MedicineEnzymesSaccharumConstraint (information theory)Nonlinear systemModeling and SimulationGeneral Agricultural and Biological SciencesMetabolic Networks and Pathways020602 bioinformaticsMathematical Biosciences
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Basic networks: Definition and applications

2009

7 pages, 4 figures, 1 table.-- PMID: 19490867 [PubMed]

Statistics and ProbabilityTheoretical computer scienceInteractomeGeodesicinteractomeSteiner tree problemModels BiologicalGeneral Biochemistry Genetics and Molecular BiologyGraph03 medical and health sciencessymbols.namesakeModuleProtein Interaction MappingmoduleAnimalsSteiner tree030304 developmental biologyMathematicsDiscrete mathematics0303 health sciencesModels StatisticalGeneral Immunology and MicrobiologyApplied Mathematics030302 biochemistry & molecular biologyGeneral MedicinegraphGraphModeling and SimulationsymbolsNeural Networks ComputerGeneral Agricultural and Biological SciencesAlgorithms
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Comment on "Ecological importance of the thermal emissivity of avian eggshells".

2012

Eggshell emissivity must be known to determine accurately the cooling rate of avian eggs when the parent, after heating by conduction during the incubation, is temporarily absent. We estimate possible values of eggshell emissivities from in-situ measurements and spectral libraries. Emissivity is near to 1 (probably higher than 0.95) and therefore its effect on cooling rate may be negligible, with differences between the temperature of the egg assuming a value of e=0.95 and that of a blackbody (e=1) below 0.2 °C.

Statistics and ProbabilityThermal infraredMaterials scienceGeneral Immunology and MicrobiologyEcologyApplied MathematicsGeneral MedicineThermal conductionModels BiologicalGeneral Biochemistry Genetics and Molecular BiologyBirdsEgg ShellCooling rateThermal radiationModeling and SimulationEmissivityAnimalsBlack-body radiationEggshellGeneral Agricultural and Biological SciencesBody Temperature RegulationJournal of theoretical biology
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Main individual and product characteristics influencing in-mouth flavour release during eating masticated food products with different textures: mech…

2013

Research Areas: Life Sciences & Biomedicine - Other Topics; Mathematical & Computational Biology; A mechanistic model predicting flavour release during oral processing of masticated foods was developed. The description of main physiological steps (product mastication and swallowing) and physical mechanisms (mass transfer, product breakdown and dissolution) occurring while eating allowed satisfactory simulation of in vivo release profiles of ethyl propanoate and 2-nonanone, measured by Atmospheric Pressure Chemical Ionization Mass Spectrometry on ten representative subjects during the consumption of four cheeses with different textures. Model sensitivity analysis showed that the main paramet…

Statistics and Probability[ INFO.INFO-MO ] Computer Science [cs]/Modeling and SimulationPhysiology[ SDV.AEN ] Life Sciences [q-bio]/Food and NutritionFlavourAroma compoundMass spectrometryModels BiologicalDynamic modelMass SpectrometryGeneral Biochemistry Genetics and Molecular BiologyEatingchemistry.chemical_compound[SPI]Engineering Sciences [physics]CheeseMass transfer[ SPI ] Engineering Sciences [physics]HumansAroma compoundMass transferFood scienceParticle SizeSalivaMasticationAromaFood oral processing2. Zero hungerMass transfer coefficientMouthGeneral Immunology and MicrobiologybiologyAirApplied MathematicsSaliva ArtificialGeneral MedicineKetonesbiology.organism_classification[INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationDeglutitionchemistryFoodTasteModeling and SimulationMasticationDigestionPropionatesBolus (digestion)General Agricultural and Biological Sciences[SDV.AEN]Life Sciences [q-bio]/Food and Nutrition
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Dynamics of Pattern Formation in Biomimetic Systems

2008

This paper is an attempt to conceptualize pattern formation in self-organizing systems and, in particular, to understand how structures, oscillations or waves arise in a steady and homogenous environment, a phenomenon called symmetry breaking. The route followed to develop these ideas was to couple chemical oscillations produced by Belousov-Zhabotinsky reaction with confined reaction environments, the latter being an essential requirement for any process of Life. Special focus was placed on systems showing organic or lipidic compartments, which represent more reliable biomimetic matrices.

Statistics and Probability{CHEMICAL} {OSCILLATORS}Belousov-Zhabotinsky reactionLipid BilayersPattern formationNanotechnology{CHEMICAL} {OSCILLATORS}; Lipid systems; Reverse microemulsionsModels BiologicalTuring structuresGeneral Biochemistry Genetics and Molecular BiologyDiffusionBiomimeticsChemical oscillatorsAnimalsSymmetry breakingPhysicsGeneral Immunology and MicrobiologyChemistry PhysicalSystems BiologyApplied MathematicsLipid systemsBiomimetic systemsGeneral MedicineBelousov-Zhabotinsky reaction; Chemical oscillators; Turing structures; Biomimetic systems; Lipid systems; Reverse microemulsionsReverse microemulsionsBelousov–Zhabotinsky reactionModeling and SimulationEmulsionsGeneral Agricultural and Biological SciencesBiological system
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Reaction Rate Modeling in Cryoconcentrated Solutions: Alkaline Phosphatase Catalyzed DNPP Hydrolysis

2000

The hydrolysis of disodium p-nitrophenyl phosphate catalyzed by alkaline phosphatase was chosen as a model to study the kinetics of changes in frozen food products. The initial reaction rate was determined in concentrated sucrose solutions down to -24 degrees C, and the enzymatic characteristics K(M) and V(max) were calculated. The experimental data were compared to the kinetics predicted by assuming that the reaction was viscosity dependent. Indeed, an analysis of the enzymatic reaction demonstrated that both the diffusion of the substrate and the flexibility of the enzyme segments were controlled by the high viscosity of the media. When the temperature was too low for the viscosity to be …

StereochemistryChemistryHydrolysisDiffusionInorganic chemistryKineticsTemperatureSubstrate (chemistry)Concentration effectGeneral ChemistryAlkaline PhosphataseCatalysisCatalysisNitrophenolsSolutionsReaction rateViscosityOrganophosphorus CompoundsGeneral Agricultural and Biological SciencesGlass transitionJournal of Agricultural and Food Chemistry
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