Search results for "identification"

showing 10 items of 1600 documents

Extended Horizon Adaptive Model Algorithmic Control

1997

Abstract A new, original, robust adaptive control strategy termed Extended Horizon Adaptive Model Algorithmic Control is presented. In EHAMAC, a new, combined, ’single-loop’/’cascade’ adaptive least-squares parameter estimator is coupled with a new, simple but powerful Extended Horizon Model Algorithmic Control so that open-loop stable non-minimum phase systems can be effectively controlled in the time-varying environment. In the new, cascade structure of the ALS estimator, the covariance windup and blowup are totally eliminated. Moreover, the sacramental square-root update of the covariance matrix is no longer needed On the other hand, employing EHMAC facilitates robustness design so that …

Model predictive controlAdaptive controlControl theoryComputer scienceRobustness (computer science)Covariance matrixAdaptive systemSystem identificationEstimatorGeneral MedicineRobust controlCovarianceLeast squaresIFAC Proceedings Volumes
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Adaptive estimation of Laguerre models with time-varying delay

2000

Abstract An Orthonormal Basis Functions (OBF) approach is effectively used in adaptive parameter estimation of linear(ized) open-loop stable, possibly nonminimum phase plants with time-varying delay. In particular, discrete Laguerre models are considered in detail. A special attention is paid to the numerical conditioning issue in case of ’poor’ excitation of a plant under control, where OBF models are of particular value. Closed-loop predictive control simulations confirm the usefulness of adaptive OBF modelling, especially for systems with time-varying delays.

Model predictive controlAdaptive controlEstimation theoryControl theoryAdaptive systemLaguerre polynomialsPhase (waves)System identificationOrthonormal basis functionsMathematicsIFAC Proceedings Volumes
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Estimation of the mean crystal size and the moments of the crystal size distribution in batch crystallization processes

2016

International audience; A cascade high gain observer is designed to estimate the first four leading moments of the crystal size distribution (CSD) and the mean crystal size in batch crystallization processes. The proposed observer is based on a well-known transformation of the partial differential equation describing the CSD to a set of ordinary differential equations (the method of moments). Due to numerical difficulties resulting from the important differences in the magnitudes of the moments, a set of new variables is computed to allow a good estimation of the moments and thus the mean crystal size. In this work, only solute concentration and crystallizer temperature are used to estimate…

Model-Predictive ControlIdentification[ INFO ] Computer Science [cs]Observer (quantum physics)population balance equations02 engineering and technologyMethod of moments (statistics)high gain observer[SPI.AUTO]Engineering Sciences [physics]/Automaticlaw.inventionCrystalCrystallization processes020401 chemical engineeringFbrmControl theorylawBeam Reflectance Measurement[SPI.GPROC]Engineering Sciences [physics]/Chemical and Process Engineering[INFO]Computer Science [cs]L-Glutamic Acid0204 chemical engineeringCrystallizationComputingMilieux_MISCELLANEOUSMathematicsParticle-SizePartial differential equationmethod of momentsMathematical analysisShape021001 nanoscience & nanotechnologyImage-Analysiscrystal size distributionTransformation (function)CascadeOrdinary differential equation0210 nano-technologyProduct
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Alzheimer: A Decade of Drug Design. Why Molecular Topology can be an Extra Edge?

2017

Background The last decade was characterized by a growing awareness about the severity of dementia in the field of age-related and no age-related diseases and about the importance to invest resources in the research of new, effective treatments. Among the dementias, Alzheimer's plays a substantial role because of its extremely high incidence and fatality. Several pharmacological strategies have been tried but still now, Alzheimer keeps being an untreatable disease. In literature, the number of QSAR related drug design attempts about new treatments for Alzheimer is huge, but only few results can be considered noteworthy. Providing a detailed analysis of the actual situation and reporting the…

Models Molecular0301 basic medicineDrugQuantitative structure–activity relationshiptopologyComputer sciencemedia_common.quotation_subjectdesignQuantitative Structure-Activity RelationshipHistory 21st CenturyArticle03 medical and health sciencesAlzheimer DiseasemedicineHumansDementiaPharmacology (medical)molecularTopology (chemistry)media_commonPharmacologyQSARdrugGeneral Medicinemedicine.diseaseDatabases BibliographicPsychiatry and Mental healthIdentification (information)030104 developmental biologyNeurologyRisk analysis (engineering)Drug DesignAlzheimerNeurology (clinical)Enhanced Data Rates for GSM EvolutionHigh incidenceMolecular topologyAntipsychotic AgentsCurrent Neuropharmacology
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Computational Identification of Chemical Compounds with Potential Activity against Leishmania amazonensis using Nonlinear Machine Learning Techniques.

2019

Leishmaniasis is a poverty-related disease endemic in 98 countries worldwide, with morbidity and mortality increasing daily. All currently used first-line and second-line drugs for the treatment of leishmaniasis exhibit several drawbacks including toxicity, high costs and route of administration. Consequently, the development of new treatments for leishmaniasis is a priority in the field of neglected tropical diseases. The aim of this work is to develop computational models those allow the identification of new chemical compounds with potential anti-leishmanial activity. A data set of 116 organic chemicals, assayed against promastigotes of Leishmania amazonensis, is used to develop the the…

Models MolecularChemical compoundComputer scienceAntiprotozoal AgentsDrug Evaluation PreclinicalMachine learningcomputer.software_genre01 natural sciencesMachine Learningchemistry.chemical_compoundParasitic Sensitivity TestsMolecular descriptorDrug DiscoveryLeishmaniaComputational modelLeishmania amazonensisVirtual screeningbiologyArtificial neural networkbusiness.industryGeneral Medicinebiology.organism_classification0104 chemical sciencesSupport vector machine010404 medicinal & biomolecular chemistryIdentification (information)chemistryArtificial intelligencebusinesscomputerSoftwareCurrent topics in medicinal chemistry
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Proteome response of Tribolium castaneum larvae to Bacillus thuringiensis toxin producing strains.

2012

Susceptibility of Tribolium castaneum (Tc) larvae was determined against spore-crystal mixtures of five coleopteran specific and one lepidopteran specific Bacillus thuringiensis Cry toxin producing strains and those containing the structurally unrelated Cry3Ba and Cry23Aa/Cry37Aa proteins were found toxic (LC(50) values 13.53 and 6.30 µg spore-crystal mixture/µL flour disc, respectively). Using iTRAQ combined with LC-MS/MS allowed the discovery of seven novel differentially expressed proteins in early response of Tc larvae to the two active spore-crystal mixtures. Proteins showing a statistically significant change in treated larvae compared to non-intoxicated larvae fell into two major cat…

Models MolecularProteomicsProteomeTranscription GeneticOdorant bindingProtein ConformationApplied Microbiologylcsh:MedicinePathogenesismedicine.disease_causeReceptors OdorantBiochemistryProtein structureBacillus thuringiensislcsh:SciencePhylogenyTriboliumMultidisciplinaryImmune System ProteinsSpectrometric Identification of ProteinsbiologyChemosensory proteinAgricultureHost-Pathogen InteractionLarvaHost-Pathogen InteractionsInsect ProteinsResearch Articleanimal structuresProtein subunitLipoproteinsBacterial ToxinsMolecular Sequence DataBacillus thuringiensisMicrobiologyBacterial ProteinsRibosomal proteinMicrobial ControlDefense ProteinsmedicineAnimalsAmino Acid SequencePesticidesBiologyToxinfungilcsh:RProteinsbiology.organism_classificationMolecular biologyApolipoproteinsOdorant-binding proteinbiology.proteinlcsh:QPest ControlSequence AlignmentZoologyEntomologyProtein AbundancePLoS ONE
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Identification of potential inhibitors targeting BRAF-V600E mutant melanoma cells.

2020

Models MolecularProto-Oncogene Proteins B-rafProtein ConformationMutantMutation MissenseDermatologyInhibitory Concentration 50Structure-Activity RelationshipCell Line TumormedicineHumansPoint MutationMolecular Targeted TherapyPrecision MedicineMelanomaProtein Kinase InhibitorsDose-Response Relationship Drugbusiness.industryMelanomaDrug Repositioningmedicine.diseaseNeoplasm ProteinsBRAF V600EMolecular Docking SimulationAmino Acid SubstitutionDrug DesignCancer researchIdentification (biology)Drug Screening Assays AntitumorbusinessJournal of the American Academy of Dermatology
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Identification of New Templates for the Synthesis of BEA, BEC, and ISV Zeolites Using Molecular Topology and Monte Carlo Techniques

2020

The presence of organic structure directing agents (templates) in the synthesis of zeolites allows the synthesis to be directed, in many cases, toward structures in which there is a large stabilization between the template and the zeolite micropore due to dispersion interactions. Although other factors are also important (temperature, pH, Si/Al ratio, etc.), systems with strong zeolite-template interactions are good candidates for an application of new computational algorithms, for instance those based in molecular topology (MT), that can be used in combination with large databases of organic molecules. Computational design of new templates allows the synthesis of existing and new zeolites …

Models MolecularQuantitative structure–activity relationshipMaterials science010304 chemical physicsGeneral Chemical EngineeringMonte Carlo methodGeneral ChemistryMicroporous materialLibrary and Information Sciences01 natural sciences0104 chemical sciencesComputer Science Applications010404 medicinal & biomolecular chemistryIdentification (information)Template0103 physical sciencesZeolitesMoleculeMinificationMolecular topologyBiological systemMonte Carlo MethodJournal of Chemical Information and Modeling
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Structure-based analyses of Salmonella RcsB variants unravel new features of the Rcs regulon

2021

18 páginas, 7 figuras, 2 tablas

Models MolecularSalmonella typhimuriumIdentificationSignaling SystemTranscription GeneticTranscription FactorAcademicSubjects/SCI00010Protein ConformationProtein Data Bank (RCSB PDB)ExpressionBiologymedicine.disease_causeRegulonBiofilm Formation03 medical and health sciencesBacterial ProteinsCapsule SynthesisStructural BiologyGeneticsmedicineTranscriptional regulationPhosphorylationPromoter Regions GeneticTranscription factorGene030304 developmental biologyRegulation of gene expression0303 health sciencesMutationBinding Sites030306 microbiologyPromoterGene Expression Regulation BacterialBiología y Biomedicina / BiologíaRepressionCell biologyRegulonEscherichia-Coli K-12MutationGenome BacterialPhosphorelay SystemNucleic Acids Research
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Enthalpy/entropy compensation effects from cavity desolvation underpin broad ligand binding selectivity for rat odorant binding protein 3

2014

Evolution has produced proteins with exquisite ligand binding specificity, and manipulating this effect has been the basis for much of modern rational drug design. However, there are general classes of proteins with broader ligand selectivity linked to function, the origin of which is poorly understood. The odorant binding proteins (OBPs) sequester volatile molecules for transportation to the olfactory receptors. Rat OBP3, which we characterize by X-ray crystallography and NMR, binds a homologous series of aliphatic gamma-lactones within its aromatic-rich hydrophobic pocket with remarkably little variation in affinity but extensive enthalpy/entropy compensation effects. We show that the bin…

Models Molecular[SDV.BIO]Life Sciences [q-bio]/BiotechnologyOdorant bindingolfactory receptor[ SDV.AEN ] Life Sciences [q-bio]/Food and NutritionEnthalpywaterDrug designCrystallography X-RayLigandsReceptors Odorantentropy compensationBiochemistryHydrophobic effectLactonesdifferent chemical classessiteAnimalsMoleculeNuclear Magnetic Resonance Biomolecularisotopically enriched proteinsbiologyChemistrycarbonic-anhydrase[ SDV.BIO ] Life Sciences [q-bio]/BiotechnologyLigand (biochemistry)RatsCrystallographyEnthalpy–entropy compensationSolventsOdorant-binding proteinbiology.proteinBiophysicsThermodynamicsidentificationrecognitionsolvent reorganization[SDV.AEN]Life Sciences [q-bio]/Food and NutritionProtein Binding
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