Search results for "Computer Science Applications"

showing 10 items of 3993 documents

A Conclusive Analysis of the Finite-Time Behavior of the Discretized Pursuit Learning Automaton

2019

Author's accepted version (post-print). © 20XX IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Available from 20/03/2021. This paper deals with the finite-time analysis (FTA) of learning automata (LA), which is a topic for which very little work has been reported in the literature. This is as opposed to the asymptotic steady-state analysis for which there are, probabl…

Property (philosophy)Learning automataDiscretizationMarkov chainComputer Networks and CommunicationsComputer scienceMarkov processMonotonic function02 engineering and technologyVDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420Computer Science ApplicationsAutomatonsymbols.namesakeArtificial Intelligence0202 electrical engineering electronic engineering information engineeringsymbols020201 artificial intelligence & image processingMathematical economicsSoftwareIEEE Transactions on Neural Networks and Learning Systems
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The Attention Schema Theory: A Foundation for Engineering Artificial Consciousness

2017

The purpose of the attention schema theory is to explain how an information-processing device, the brain, arrives at the claim that it possesses a non-physical, subjective awareness, and assigns a high degree of certainty to that extraordinary claim. The theory does not address how the brain might actually possess a non-physical essence. It is not a theory that deals in the non-physical. It is about the computations that cause a machine to make a claim and to assign a high degree of certainty to the claim. The theory is offered as a possible starting point for building artificial consciousness. Given current technology, it should be possible to build a machine that contains a rich internal …

Property (philosophy)media_common.quotation_subjectlcsh:Mechanical engineering and machineryInternal modelArtificial consciousness050105 experimental psychologylcsh:QA75.5-76.9503 medical and health sciences0302 clinical medicineArtificial Intelligence0501 psychology and cognitive sciencesHuman–machine systemawarenesslcsh:TJ1-1570body schemamedia_commonCognitive scienceinternal modelbusiness.industry05 social sciencesFoundation (evidence)Computer Science ApplicationsattentionBody schemavisual attentionArtificial intelligencelcsh:Electronic computers. Computer scienceConsciousnessbusinessPsychologyAttribution030217 neurology & neurosurgeryFrontiers in Robotics and AI
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The Role of Low Complexity Regions in Protein Interaction Modes: An Illustration in Huntingtin

2021

Low complexity regions (LCRs) are very frequent in protein sequences, generally having a lower propensity to form structured domains and tending to be much less evolutionarily conserved than globular domains. Their higher abundance in eukaryotes and in species with more cellular types agrees with a growing number of reports on their function in protein interactions regulated by post-translational modifications. LCRs facilitate the increase of regulatory and network complexity required with the emergence of organisms with more complex tissue distribution and development. Although the low conservation and structural flexibility of LCRs complicate their study, evolutionary studies of proteins …

Protein Conformation alpha-Helical0301 basic medicineNetwork complexityHuntingtinintrinsically disordered regionsAmino Acid MotifsComputational biologyBiologyprotein interactionsArticlecompositionally biased regionsCatalysisProtein–protein interactionlcsh:ChemistryEvolution MolecularInorganic ChemistryLow complexity03 medical and health sciencesProtein DomainsProtein Interaction MappingAnimalsHumansp300-CBP Transcription FactorsAmino Acid SequenceProtein Interaction MapsHuntingtinTissue distributionPhysical and Theoretical Chemistrylcsh:QH301-705.5Molecular BiologySpectroscopyHuntingtin Protein030102 biochemistry & molecular biologyOrganic ChemistryNuclear Proteinsp120 GTPase Activating ProteinGeneral MedicineMultiple modesSynapsinslow complexity regionsComputer Science ApplicationshomorepeatsMicroscopy Electron030104 developmental biologylcsh:Biology (General)lcsh:QD1-999Sequence AlignmentFunction (biology)Protein BindingInternational Journal of Molecular Sciences
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Folding and insertion of transmembrane helices at the ER

2021

In eukaryotic cells, the endoplasmic reticulum (ER) is the entry point for newly synthesized proteins that are subsequently distributed to organelles of the endomembrane system. Some of these proteins are completely translocated into the lumen of the ER while others integrate stretches of amino acids into the greasy 30 Å wide interior of the ER membrane bilayer. It is generally accepted that to exist in this non-aqueous environment the majority of membrane integrated amino acids are primarily non-polar/hydrophobic and adopt an α-helical conformation. These stretches are typically around 20 amino acids long and are known as transmembrane (TM) helices. In this review, we will consider how tra…

Protein Conformation alpha-HelicalfoldingProtein FoldingQH301-705.5ReviewEndoplasmic ReticulumRibosomeCatalysisinsertionInorganic Chemistrytransmembrane segmentAnimalsHumansEndomembrane systemmembrane proteinPhysical and Theoretical ChemistryBiology (General)Molecular BiologyQD1-999Spectroscopytransloconchemistry.chemical_classificationEndoplasmic reticulumOrganic ChemistryProteïnes de membranaMembrane ProteinsGeneral MedicineTransloconTransmembrane proteinComputer Science ApplicationsAmino acidTransmembrane domainChemistrychemistryMembrane proteinribosomeBiophysicsHydrophobic and Hydrophilic InteractionsRibosomes
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Getting Docking into Shape Using Negative Image-Based Rescoring

2019

The failure of default scoring functions to ensure virtual screening enrichment is a persistent problem for the molecular docking algorithms used in the structure-based drug discovery. To remedy this problem, elaborate rescoring and post-processing schemes have been developed with a varying degree of success, specificity, and cost. The negative imagebased rescoring (R-NiB) has been shown to improve the flexible docking performance markedly with a variety of drug targets.The yield improvement is achieved by comparing the alternative docking poses against the negative image of the target protein’s ligand-binding cavity. In other words, the shape and electrostatics of the binding pocket is dir…

Protein ConformationComputer scienceGeneral Chemical EngineeringDrug Evaluation PreclinicalBinding pocketLibrary and Information SciencesCrystallography X-RayMachine learningcomputer.software_genre01 natural sciencesArticledrugsAutodock vinaUser-Computer InterfaceDOCK0103 physical sciencesVirtual screening010304 chemical physicsbusiness.industryDrug discoveryGeneral Chemistrymolecular dockingPANTHER/ShaEP-based R-NiB methodologyAutoDock0104 chemical sciencesComputer Science ApplicationsMolecular Docking SimulationBenchmarking010404 medicinal & biomolecular chemistryDocking (molecular)Artificial intelligencebusinesscomputer
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Curcumin Affects HSP60 Folding Activity and Levels in Neuroblastoma Cells.

2020

The fundamental challenge in fighting cancer is the development of protective agents able to interfere with the classical pathways of malignant transformation, such as extracellular matrix remodeling, epithelial−mesenchymal transition and, alteration of protein homeostasis. In the tumors of the brain, proteotoxic stress represents one of the main triggering agents for cell transformation. Curcumin is a natural compound with anti-inflammatory and anti-cancer properties with promising potential for the development of therapeutic drugs for the treatment of cancer as well as neurodegenerative diseases. Among the mediators of cancer development, HSP60 is a key factor for the maintenance of…

Protein FoldingCurcuminCell SurvivalCellCatalysisMalignant transformationCell Linelcsh:ChemistryInorganic ChemistryMitochondrial Proteinschemistry.chemical_compoundNeuroblastomaDownregulation and upregulationHeat shock proteinmedicinepost-translational modificationsHumansSecretionPhysical and Theoretical Chemistrylcsh:QH301-705.5Molecular BiologySpectroscopyCell ProliferationHeat shock proteinDose-Response Relationship DrugCommunicationOrganic Chemistrymolecular chaperonesUbiquitinationGeneral MedicineChaperonin 60Computer Science ApplicationsCell biologyUp-RegulationBrain tumorGene Expression Regulation Neoplasticmedicine.anatomical_structurelcsh:Biology (General)lcsh:QD1-999chemistryApoptosisheat shock proteinsMolecular chaperoneCurcuminbrain tumorsHSP60Post-translational modificationHSP60extracellular HSP60International journal of molecular sciences
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Investigation of Phosphorylation-Induced Folding of an Intrinsically Disordered Protein by Coarse-Grained Molecular Dynamics

2021

Apart from being the most common mechanism of regulating protein function and transmitting signals throughout the cell, phosphorylation has an ability to induce disorder-to-order transition in an intrinsically disordered protein. In particular, it was shown that folding of the intrinsically disordered protein, eIF4E-binding protein isoform 2 (4E-BP2), can be induced by multisite phosphorylation. Here, the principles that govern the folding of phosphorylated 4E-BP2 (pT37pT46 4E-BP2(18–62)) are investigated by analyzing canonical and replica exchange molecular dynamics trajectories, generated with the coarse-grained united-residue force field, in terms of local and global motions and the time…

Protein isoformPhysicsProtein functionProtein Folding010304 chemical physicsMolecular Dynamics Simulation01 natural sciencesForce field (chemistry)ArticleComputer Science ApplicationsFolding (chemistry)Standing waveIntrinsically Disordered Proteinssymbols.namesakeMolecular dynamicsChemical physics0103 physical sciencessymbolsPhosphorylationThermodynamicsPhysical and Theoretical ChemistryPhosphorylationNonlinear Schrödinger equation
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Molecular modularity and asymmetry of the molluscan mantle revealed by a gene expression atlas

2018

15 pages; International audience; Background: Conchiferan molluscs construct a biocalcified shell that likely supported much of their evolutionary success.However, beyond broad proteomic and transcriptomic surveys of molluscan shells and the shell-forming mantle tissue,little is known of the spatial and ontogenetic regulation of shell fabrication. In addition, most efforts have been focused onspecies that deposit nacre, which is at odds with the majority of conchiferan species that fabricate shells using acrossed-lamellar microstructure, sensu lato. Results: By combining proteomic and transcriptomic sequencing with in situhybridization we have identified a suite of gene products associated …

Proteomics0301 basic medicineGlycosylationProteomematrix proteinHealth InformaticsLymnaea stagnalisProteomicsalternative splicing03 medical and health sciencesmolluscAnimal Shells[SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]evolutionAnimalsMantle (mollusc)GeneGenetic Association Studiesmodularitymollusc; biomineralizationRegulation of gene expressionMineralsbiologyPhylumResearchGene Expression ProfilingGene Expression Regulation Developmentalbiomineralizationbiology.organism_classificationComputer Science ApplicationsGene expression profilingEvolvability030104 developmental biologyMolluscashellEvolutionary biologygene expressiontranscriptomeasymmetryGigaScience
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Comparative Quantitative Analysis of Porcine Optic Nerve Head and Retina Subproteomes

2019

Optic nerve head (ONH) and retina (RET) are the main sites of damage in neurodegenerative optic neuropathies including glaucoma. Up to date, little is known about the molecular interplay between these two adjoining ocular components in terms of proteomics. To close this gap, we investigated ONH and RET protein extracts derived from porcine eyes (n = 12) (Sus scrofa domestica Linnaeus 1758) using semi-quantitative mass spectrometry (MS)-based proteomics comprising bottom-up LC&ndash

Proteomics0301 basic medicineretinaProteomegenetic structuresSus scrofaGlaucomaProteomicslcsh:ChemistrySus scrofa domestica0302 clinical medicineTandem Mass SpectrometryProtein Interaction Mapslcsh:QH301-705.5Spectroscopybiologyoptic nerve headGeneral MedicineComputer Science ApplicationsCell biologymedicine.anatomical_structureProteomeOptic nerveProtein Binding<i>Sus scrofa domestica</i>Optic DiskArticleCatalysisInorganic Chemistry03 medical and health sciencesmedicineMALDI-TOF MSAnimalsHumansPhysical and Theoretical ChemistryEndoplasminMolecular BiologyRetinaClusterinOrganic Chemistrymedicine.diseaseeye diseasesLC-MSglaucomaGene Ontology030104 developmental biologylcsh:Biology (General)lcsh:QD1-999Spectrometry Mass Matrix-Assisted Laser Desorption-Ionizationbiology.proteinsense organsCeruloplasmin030217 neurology & neurosurgeryInternational Journal of Molecular Sciences
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Comparison of classification methods that combine clinical data and high-dimensional mass spectrometry data

2013

Background The identification of new diagnostic or prognostic biomarkers is one of the main aims of clinical cancer research. Technologies like mass spectrometry are commonly being used in proteomic research. Mass spectrometry signals show the proteomic profiles of the individuals under study at a given time. These profiles correspond to the recording of a large number of proteins, much larger than the number of individuals. These variables come in addition to or to complete classical clinical variables. The objective of this study is to evaluate and compare the predictive ability of new and existing models combining mass spectrometry data and classical clinical variables. This study was co…

ProteomicsComputer sciencePredictive valueContext (language use)computer.software_genreMass spectrometryBiochemistryData typeHigh-dimensionLasso (statistics)Structural BiologyHumansMolecular BiologySelection (genetic algorithm)Applied MathematicsDimensionality reductionClassificationData scienceComputer Science ApplicationsFatty LiverIdentification (information)Sample SizeSpectrometry Mass Matrix-Assisted Laser Desorption-IonizationClinical dataBiomarker (medicine)Classification methodsData miningDNA microarraycomputerAlgorithmsBiomarkersResearch ArticleBMC Bioinformatics
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