Search results for "Linear Model"

showing 10 items of 598 documents

Atom-based Stochastic and non-Stochastic 3D-Chiral Bilinear Indices and their Applications to Central Chirality Codification

2006

Abstract Non-stochastic and stochastic 2D bilinear indices have been generalized to codify chemical structure information for chiral drugs, making use of a trigonometric 3D-chirality correction factor. In order to evaluate the effectiveness of this novel approach in drug design we have modeled the angiotensin-converting enzyme inhibitory activity of perindoprilate's σ-stereoisomers combinatorial library. Two linear discriminant analysis models, using non-stochastic and stochastic linear indices, were obtained. The models had shown an accuracy of 95.65% for the training set and 100% for the external prediction set. Next the prediction of the σ-receptor antagonists of chiral 3-(3-hydroxypheny…

Models MolecularQuantitative structure–activity relationshipIndolesStereochemistryStatic ElectricityQuantitative Structure-Activity RelationshipBilinear interpolationAngiotensin-Converting Enzyme InhibitorsIn Vitro TechniquesSet (abstract data type)PiperidinesLinear regressionMaterials ChemistryReceptors sigmaOrder (group theory)Applied mathematicsComputer SimulationPhysical and Theoretical ChemistrySpectroscopyMathematicsTranscortinStochastic ProcessesChemistryAtom (order theory)StereoisomerismLinear discriminant analysisComputer Graphics and Computer-Aided DesignData setDrug DesignLinear ModelsSteroidsTrigonometryChirality (chemistry)Proceedings of The 10th International Electronic Conference on Synthetic Organic Chemistry
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Characterization of Iron−Carbonyl-Protected Gold Clusters

2009

Ligand-stabilized nanometer-sized gold particles are interesting building blocks for molecular electronics, precursors for catalysts, optical labels for biomolecules and diagnosis, and potential nontoxic carriers for therapeutics. In this work we characterize for the first time, by means of near-infrared and Raman spectroscopy and time-dependent density functional calculations, gold clusters protected with iron-carbonyl ligands, such as {Au(22)[Fe(CO)(4)](12)}(6-) shown in the figure. Surprisingly, our results show that these novel compounds bear many analogues to another, well-studied, class of gold clusters, namely those of thiolate-monolayer-protected gold clusters. Our work adds a new d…

Models MolecularTime FactorsSpectrophotometry InfraredPhosphinesInfraredIronMolecular ConformationElectronsNanotechnologySpectrum Analysis RamanBiochemistryCatalysisCatalysissymbols.namesakeColloid and Surface ChemistryNano-chemistry.chemical_classificationAldehydesChemistryBiomoleculeMolecular electronicsGeneral ChemistryCombinatorial chemistryCharacterization (materials science)Gold particlesLinear ModelssymbolsQuantum TheoryGoldRaman spectroscopyJournal of the American Chemical Society
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Effect of beta-lactoglobulin polymorphism on milk-related traits of dairy ewes analysed by a repeated measures design.

2000

Among specific genes that may affect economically important traits in sheep, the β-lactoglobulin (LGB) locus has been extensively studied. Polymorphism has been detected in several breeds, but studies of the effect of LGB alleles on milk production traits have given conflicting results. Some found that LGB polymorphism significantly affects milk yield (Bolla et al. 1989; Herget et al. 1995; Fraghì et al. 1996), fat and protein content (Garzon & Martínez 1992; Giaccone et al. 1997; Kukovics et al. 1998), only fat content (Pirisi et al. 1998) and cheese yield and composition (Di Stasio et al. 1997; Rampilli et al. 1997). However, other studies failed to detect any effect of the gene on mi…

Models StatisticalPolymorphism GeneticSheepGenotypeLinear modelRepeated measures designGeneral MedicineLactoglobulinsCovarianceBiologyBreedCorrelationmedicine.anatomical_structureMilkLactationStatisticsmedicineAnimalsRegression AnalysisAnimal Science and ZoologyFemaleFood scienceAlleleDairy cattleFood ScienceThe Journal of dairy research
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Infanticide in the evolution of reproductive synchrony: effects on reproductive success.

2007

Synchronous breeding in animals and plants has stimulated both a theoretical and empirical examination of the possible benefits of active synchronization. The selective pressures of predation and infanticide are the strongest candidates proposed to explain the evolution of reproductive synchrony. Alternatively, breeding asynchronously with conspecifics may ensure a greater availability of resources per breeder. However, the possible fitness benefits resulting from active asynchronization have not yet received attention in evolutionary ecology. Here we present a hypothesis, based on a graphical model, illustrating the costs and benefits of the two modes of reproduction. We tested the hypothe…

Modes of reproductionmedia_common.quotation_subjectPopulationReproductive synchronyPredationGeneticsAnimalseducationEcology Evolution Behavior and Systematicsmedia_commoneducation.field_of_studybiologyReproductive successBehavior AnimalEcologyArvicolinaeReproductionBody Weightbiology.organism_classificationBiological EvolutionBank voleFertilityLinear ModelsEvolutionary ecologyFemaleReproductionGeneral Agricultural and Biological SciencesEstrus SynchronizationDemographyEvolution; international journal of organic evolution
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Inhibition of tumor lactate oxidation: consequences for the tumor microenvironment.

2011

Abstract Background and purpose Tumor cells are recognized as being highly glycolytic. However, recently it was suggested that lactate produced in hypoxic tumor areas may be taken up by the monocarboxylate transporter MCT1 and oxidized in well-oxygenated tumor parts. Furthermore, it was shown that inhibition of lactate oxidation using the MCT1 inhibitor α-cyano-hydroxycinnamate (CHC) can radio-sensitize tumors possibly by forcing a switch from lactate oxidization to glycolysis in oxygenated cells, which in turn improves tumor oxygenation and indirectly kills radio-resistant hypoxic tumor cells from glucose starvation. Material and methods To provide direct evidence for the existence of a ta…

Monocarboxylic Acid TransportersPasteur effectMice NudeUterine Cervical NeoplasmsImmunoenzyme Techniques03 medical and health sciencesMice0302 clinical medicineLactate oxidationFluorodeoxyglucose F18Cell Line TumorTumor MicroenvironmentPimonidazoleAnimalsRadiology Nuclear Medicine and imaging030304 developmental biologyMonocarboxylate transporter0303 health sciencesTumor microenvironmentbiologySymportersChemistryGlucose analogHematologyTumor OxygenationWarburg effectCell Hypoxia3. Good healthGlucoseOncologyCinnamatesHead and Neck NeoplasmsNitroimidazoles030220 oncology & carcinogenesisImmunologyLuminescent Measurementsbiology.proteinCancer researchCarcinoma Squamous CellLactatesLinear ModelsAutoradiographyFemaleGlycolysisOxidation-ReductionRadiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
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Origin and correction of the deviations in retention times at increasing flow rate with Chromolith columns.

2010

Chromoliths can be used at flow rates beyond those feasible for conventional microparticulate packed columns. Ideally, the plots of the retention time versus the inverse of delivered flow rate should exhibit y-intercept of zero. However, significant positive deviations correlating with the solute polarity were observed for several compounds chromatographed with a Chromolith column, owing to the increased system pressure. Consequently, the dead time marker exhibits a smaller deviation, making the retention factors depend on the flow rate. Chromoliths are made of a silica-based monolith encapsulated within a PEEK tube, and should suffer larger stress with pressure than stainless steel columns…

Monolithic HPLC columnAcetonitrilesPolymersAnalytical chemistryBiochemistryAnalytical ChemistryPolyethylene GlycolsStress (mechanics)PropanolaminesBenzophenonesPeekMonolithChromatography High Pressure Liquidgeographygeography.geographical_feature_categoryChromatographyChemistryOrganic ChemistryGeneral MedicineDead timeKetonesSilicon DioxideVolumetric flow rateVolume (thermodynamics)Linear ModelsBar (unit)Journal of chromatography. A
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Predictability and prediction of lowest observed adverse effect levels in a structurally heterogeneous set of chemicals

2005

A database of chronic lowest observed adverse effect levels (LOAELs) for 234 compounds, previously compiled from different sources (Toxicology Letters79, 131-143 (1995)), was modelled using graph theoretical descriptors. This study reveals that data are not homogeneous. Only those data originating from the U.S. Environmental Protection Agency (EPA) reports could be well modelled by multilinear regression (MLR) and linear discriminant analysis (LDA). In contrast, data available from the specific procedures of the National Toxicology Program (NTP) database introduced noise and did not render good models either alone, or in combination with the EPA data.

Multilinear mapComputer scienceLinear modelReproducibility of ResultsContrast (statistics)BioengineeringGeneral MedicineModels TheoreticalLinear discriminant analysiscomputer.software_genreRegressionLowest-observed-adverse-effect levelSet (abstract data type)Structure-Activity RelationshipDrug DiscoveryStatisticsLinear ModelsAnimalsMolecular MedicineData miningOrganic ChemicalsPredictabilityToxicity Tests ChroniccomputerSAR and QSAR in Environmental Research
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Multivariate factor analysis of Girgentana goat milk composition

2005

The interpretation of the several variables that contribute to defining milk quality is difficult due to the high degree of correlation among them. In this case, one of the best methods of statistical processing is factor analysis, which belongs to the multivariate groups; for our study this particular statistical approach was employed. A total of 1485 individual goat milk samples from 117 Girgentana goats, were collected fortnightly from January to July, and analysed for physical and chemical composition, and clotting properties. Milk pH and tritable acidity were within the normal range for fresh goat milk. Morning milk yield resulted 704 ± 323 g with 3.93 ± 1.23% and 3.…

Multivariate statistics040301 veterinary sciencesVarimax rotation0402 animal and dairy sciencefood and beverages04 agricultural and veterinary sciences040201 dairy & animal scienceBreedGirgentana goat Milk composition Multivariate analysis0403 veterinary scienceSettore AGR/17 - Zootecnica Generale E Miglioramento GeneticoMixed linear modelGirgentana goatAnimal Science and ZoologyComposition (visual arts)lcsh:Animal cultureFood scienceParity (mathematics)lcsh:SF1-1100MathematicsMorningItalian Journal of Animal Science
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Structural invariants for the prediction of relative toxicities of polychloro dibenzo-p-dioxins and dibenzofurans

2004

Multivariate models are reported that can predict the relative toxicity of compounds with severe environmental impact, namely polychloro dibenzo-p-dioxins (PCDDs) and dibenzofurans (PCDFs). Multiple linear regression analysis (MLR) and partial least square projections of latent variables (PLS) show the usefulness of graph-theoretical descriptors, mainly topological charge indices (TCIs), in these series. The general trends of the group are correctly reproduced and better results are presented than have previously been published. In general, the more toxic compounds exhibit more symmetric molecular structures.

Multivariate statisticsCarcinoma HepatocellularPolychlorinated DibenzodioxinsRelative toxicityQuantitative Structure-Activity RelationshipLatent variableDioxinsCatalysisInorganic ChemistryToxicologyComputational chemistryDrug DiscoveryLinear regressionCytochrome P-450 CYP1A1AnimalsSoil PollutantsLeast-Squares AnalysisPhysical and Theoretical ChemistryMolecular BiologyBenzofuransModels StatisticalChemistryOrganic ChemistryReproducibility of Resultsfood and beveragesNeoplasms ExperimentalGeneral MedicineModels TheoreticalRatsDisease Models AnimalModels ChemicalDrug DesignMultivariate AnalysisLinear ModelsEnvironmental PollutantsMultiple linear regression analysisInformation SystemsMolecular Diversity
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Assessing Frequency Domain Causality in Cardiovascular Time Series with Instantaneous Interactions

2009

Summary Background: The partial directed coherence (PDC) is commonly used to assess in the frequency domain the existence of causal relations between two time series measured in conjunction with a set of other time series. Although the multivariate autoregressive (MVAR) model traditionally used for PDC computation accounts only for lagged effects, instantaneous effects cannot be neglected in the analysis of cardiovascular time series. Objectives: We propose the utilization of an extended MVAR model for PDC computation, in order to improve the evaluation of frequency domain causality in the presence of zero-lag correlations among multivariate time series. Methods: A procedure for the identif…

Multivariate statisticsComputationDiagnostic Techniques CardiovascularHealth InformaticsHealth Information ManagementExtended modelGranger causalityReference ValuesEconometricsCardiovascular interactionHumansCoherence (signal processing)MathematicsHealth InformaticAdvanced and Specialized NursingPartial directed coherenceModels CardiovascularAC powerCausalityAutoregressive modelFrequency domainSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaMultivariate AnalysisGranger causalityLinear ModelsRegression AnalysisAlgorithmMethods of Information in Medicine
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