Search results for " selection"

showing 10 items of 1271 documents

Bayesian Model Averaging and Weighted Average Least Squares: Equivariance, Stability, and Numerical Issues

2011

This article is concerned with the estimation of linear regression models with uncertainty about the choice of the explanatory variables. We introduce the Stata commands bma and wals which implement, respectively, the exact Bayesian Model Averaging (BMA) estimator and the Weighted Average Least Squares (WALS) estimator developed by Magnus et al. (2010). Unlike standard pretest estimators which are based on some preliminary diagnostic test, these model averaging estimators provide a coherent way of making inference on the regression parameters of interest by taking into account the uncertainty due to both the estimation and the model selection steps. Special emphasis is given to a number pra…

Model selectionBayesian probabilityLinear regressionStability (learning theory)Applied mathematicsInferenceEstimatorBayesian inferenceLeast squaresMathematicsSSRN Electronic Journal
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Detecting global and local hippocampal shape changes in Alzheimer's disease using statistical shape models.

2012

Item does not contain fulltext The hippocampus is affected at an early stage in the development of Alzheimer's disease (AD). With the use of structural magnetic resonance (MR) imaging, we can investigate the effect of AD on the morphology of the hippocampus. The hippocampal shape variations among a population can be usually described using statistical shape models (SSMs). Conventional SSMs model the modes of variations among the population via principal component analysis (PCA). Although these modes are representative of variations within the training data, they are not necessarily discriminative on labeled data or relevant to the differences between the subpopulations. We use the shape des…

Models AnatomicMaleSupport Vector MachineDatabases FactualNeuropsychological TestsHippocampusFunctional Laterality030218 nuclear medicine & medical imagingLogical addressCorrelation0302 clinical medicineDiscriminative modelAlzheimer Centre [DCN PAC - Perception action and control NCEBP 11][ INFO.INFO-TI ] Computer Science [cs]/Image Processingeducation.field_of_studyBrain MappingPrincipal Component AnalysisVerbal LearningMagnetic Resonance ImagingNeurologyData Interpretation Statistical[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]Principal component analysisEducational StatusFemalePsychologyCognitive NeurosciencePopulationFeature selectionVerbal learningStatiscal Shape Model03 medical and health sciencesAlzheimer DiseaseArtificial IntelligenceSupport Vector MachinesHumansAlzheimer Centre [NCEBP 11]educationAgedMemory DisordersNeurology & NeurosurgeryModels Statisticalbusiness.industryPattern recognitionSupport vector machineMental RecallAlzheimerArtificial intelligenceAtrophybusiness030217 neurology & neurosurgery
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Evolution of Snake Venom Disintegrins by Positive Darwinian Selection

2008

PII-disintegrins, cysteine-rich polypeptides broadly distributed in the venoms of geographically diverse species of vipers and rattlesnakes, antagonize the adhesive functions of beta(1) and beta(3) integrin receptors. PII-disintegrins evolved in Viperidae by neofunctionalization of disintegrin-like domains of duplicated PIII-snake venom hemorrhagic metalloproteinase (SVMP) genes recruited into the venom proteome before the radiation of the advanced snakes. Minimization of the gene (loss of introns and coding regions) and the protein structures (successive loss of disulfide bonds) underpins the postduplication divergence of disintegrins. However, little is known about the underlying genetic …

Models MolecularProtein ConformationDisintegrinsMolecular Sequence DataEvolution MolecularNegative selectionPhylogeneticsMolecular evolutionViperidaeGeneticsDisintegrinAnimalsAmino Acid SequenceSelection GeneticMolecular BiologyGenePhylogenyEcology Evolution Behavior and SystematicsGeneticsEvolution of snake venomBinding SitesbiologyPhylogenetic treeMultigene Familybiology.proteinNeofunctionalizationProtein MultimerizationSnake VenomsMolecular Biology and Evolution
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Genomic determinants of protein folding thermodynamics in prokaryotic organisms.

2004

Here we investigate how thermodynamic properties of orthologous proteins are influenced by the genomic environment in which they evolve. We performed a comparative computational study of 21 protein families in 73 prokaryotic species and obtained the following main results. (i) Protein stability with respect to the unfolded state and with respect to misfolding are anticorrelated. There appears to be a trade-off between these two properties, which cannot be optimized simultaneously. (ii) Folding thermodynamic parameters are strongly correlated with two genomic features, genome size and G+C composition. In particular, the normalized energy gap, an indicator of folding efficiency in statistical…

Models MolecularProtein DenaturationProtein FoldingProtein familyArchaeal ProteinsThermodynamicsdeleterious mutationsthermophilic proteinsBiologymonte-carlo algorithmGenomeNegative selectionBacterial ProteinsStructural BiologyMolecular evolutionGenome ArchaealevolutionbuchneraMolecular BiologyGenome sizeGeneticsPrincipal Component Analysisacid side-chainsBacteriaSequence Homology Amino Acidreplica approachComputational BiologystabilityGenetic codeArchaeaPRI BioscienceFolding (chemistry)endosymbiotic bacteriacation-pi interactionsThermodynamicsProtein foldingHydrophobic and Hydrophilic InteractionsGenome BacterialJournal of molecular biology
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Computational Methods in Developing Quantitative Structure-Activity Relationships (QSAR): A Review

2006

Virtual filtering and screening of combinatorial libraries have recently gained attention as methods complementing the high-throughput screening and combinatorial chemistry. These chemoinformatic techniques rely heavily on quantitative structure-activity relationship (QSAR) analysis, a field with established methodology and successful history. In this review, we discuss the computational methods for building QSAR models. We start with outlining their usefulness in high-throughput screening and identifying the general scheme of a QSAR model. Following, we focus on the methodologies in constructing three main components of QSAR model, namely the methods for describing the molecular structure …

Models MolecularQuantitative structure–activity relationshipbusiness.industryComputer scienceOrganic ChemistryQuantitative Structure-Activity RelationshipQuantitative structureFeature selectionGeneral MedicineMachine learningcomputer.software_genreCombinatorial chemistryField (computer science)Computer Science ApplicationsDomain (software engineering)Molecular descriptorDrug DiscoveryArtificial intelligencebusinesscomputerApplicability domainCombinatorial Chemistry & High Throughput Screening
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Modeling of the role of conformational dynamics in kinetics of the antigen-antibody interaction in heterogeneous phase.

2012

[EN] A novel approach that may potentially be used to study biomolecular interactions including the simultaneous determination of structural and kinetic binding parameters is described in this Article for the first time. It allows a rigid distinction between the possible reaction mechanisms of biomolecular recognition, induced fit and conformational selection. The relative importance of the two pathways is determined not by comparing rate constants but the structural aspects of the interaction instead. So the exact location of antigen molecules with respect to the capture antibody is depicted experimentally, avoiding the use of X-ray crystallography. The proposed pattern is applied to study…

Models MolecularTime FactorsSimultaneous determinationsProtein ConformationRate constantsBinding processAntigen-Antibody ComplexImmunoglobulin GFragment antigen-bindingConformational dynamicsMiceStructural aspectsBiomolecular recognitionMaterials ChemistrySteric hindrancesBovine serum albuminReaction mechanismbiologyChemistryIn-situSerum Albumin BovineLigand (biochemistry)Reaction schemesSurfaces Coatings and FilmsConformationsAntigen-antibody interactionBovine serum albuminsBiomolecular interactionsMolecular recognitionBSA moleculesAlgorithmsProtein BindingStereochemistryKinetic bindingReaction intermediateAntigen bindingAntibodiesMolecular recognitionAntigenQUIMICA ANALITICAAnimalsComputer SimulationPhysical and Theoretical ChemistryAntigensHeterogeneous phaseInduced fitX ray crystallographyMoleculesSensing surfaceKineticsSilicon chipInterferometryConformational selectionImmunoglobulin Gbiology.proteinBiophysicsCattleAntigen-antibody interactionThe journal of physical chemistry. B
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A supramolecular system that strictly follows the binding mechanism of conformational selection

2020

Induced fit and conformational selection are two dominant binding mechanisms in biology. Although induced fit has been widely accepted by supramolecular chemists, conformational selection is rarely studied with synthetic systems. In the present research, we report a macrocyclic host whose binding mechanism is unambiguously assigned to conformational selection. The kinetic and thermodynamic aspects of this system are studied in great detail. It reveals that the kinetic equation commonly used for conformational selection is strictly followed here. In addition, two mathematical models are developed to determine the association constants of the same guest to the two host conformations. A “confo…

Models Molecularconformational selectionProtein ConformationScienceSupramolecular chemistrybiological systemsGeneral Physics and Astronomy010402 general chemistryLigands01 natural sciencesGeneral Biochemistry Genetics and Molecular BiologyBiophysical PhenomenaArticlesupramolecular chemistryMolecular recognitionProtein structureProtein DomainsComputational chemistryHeterocyclic Compoundsmechanisms in biologysupramolekulaarinen kemialcsh:ScienceSelection (genetic algorithm)Multidisciplinary010405 organic chemistryMechanism (biology)QProteinsGeneral ChemistryModels Theoretical0104 chemical sciencesKineticsPhysical chemistryKinetic equationsProteins metabolismsynthetic systemsThermodynamicslcsh:Qmolecular recognitionSupramolecular chemistryProtein Binding
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Selection on Coding Regions Determined Hox7 Genes Evolution

2003

The important role of Hox genes in determining the regionalization of the body plan of the vertebrates makes them invaluable candidates for evolutionary analyses regarding functional and morphological innovation. Gene duplication and gene loss led to a variable number of Hox genes in different vertebrate lineages. The evolutionary forces determining the conservation or loss of Hox genes are poorly understood. In this study, we show that variable selective pressures acted on Hox7 genes in different evolutionary lineages, with episodes of positive selection occurring after gene duplications. Tests for functional divergence in paralogs detected significant differentiation in a region known to …

Molecular Sequence DataBiologyEvolution MolecularOpen Reading FramesNegative selectionGene DuplicationGene duplicationGene clusterGeneticsAnimalsHumansCoding regionAmino Acid SequenceHox geneMolecular BiologyGenePhylogenyEcology Evolution Behavior and SystematicsGeneticsLikelihood FunctionsGenes HomeoboxGenetic VariationSequence Analysis DNABody planEvolutionary biologyMultigene FamilyVertebratesFunctional divergenceMolecular Biology and Evolution
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Direction and strength of selection by predators for the color of the aposematic wood tiger moth

2011

Conventionally, predation is assumed to select for conspicuousness and uniformity of warning signals in aposematic (i.e., chemically defended and warning signaling) prey because this enhances predators' initial and learned avoidance. On the other hand, it has been suggested that both variation in the background where the signal is displayed as well as variation in predators' probability to attack defended prey may favor intermediate signals or relax selection for signal monomorphism. We studied the direction and strength of selection for the hind wing color (orange vs. red) of female Parasemia plantaginis moths. Birds found the moths aversive and avoided them by sight both in laboratory and…

Monomorphismanimal structuresWingbiologyDirectional selectionEcologyAposematismOrange (colour)biology.organism_classificationPredationParasemia plantaginisAnimal Science and ZoologyPredatorEcology Evolution Behavior and SystematicsBehavioral Ecology
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Language ruling stymies brain gain

2016

MultidisciplinaryPolitical sciencePersonnel selectionPublic administrationNature
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