Search results for "Steri"

showing 10 items of 2646 documents

Regulatory effects of simvastatin and apoJ on APP processing and amyloid-beta clearance in blood-brain barrier endothelial cells

2017

Amyloid-β peptides (Aβ) accumulate in cerebral capillaries indicating a central role of the blood-brain barrier (BBB) in the pathogenesis of Alzheimer’s disease (AD). Although a relationship between apolipoprotein-, cholesterol- and Aβ metabolism is evident, the interconnecting mechanisms operating in brain capillary endothelial cells (BCEC) are poorly understood. ApoJ (clusterin) is present in HDL that regulates cholesterol metabolism which is disturbed in AD. ApoJ levels are increased in AD brains and in plasma of cerebral amyloid angiopathy (CAA) patients. ApoJ may bind, prevent fibrillization, and enhance clearance of Aβ. We here define a connection of apoJ and cellular cholesterol home…

0301 basic medicineSimvastatinmedicine.medical_specialtyAmyloidSwineMice TransgenicBiologyBlood–brain barrierAmyloid beta-Protein PrecursorMice03 medical and health sciences0302 clinical medicineInternal medicinemedicineAmyloid precursor proteinAnimalsMolecular BiologyCells CulturedAmyloid beta-PeptidesClusterinEndothelial CellsCell Biologymedicine.diseaseLRP1Peptide FragmentsMice Inbred C57BLClusterin030104 developmental biologyEndocrinologymedicine.anatomical_structureBlood-Brain Barrierbiology.proteinFemaleCerebral amyloid angiopathyblood-brain barrier ; amyloid-β ; cholesterol ; simvastatin ; clusterin/apoJ ; LRP1Protein Processing Post-Translational030217 neurology & neurosurgeryIntracellularLipoprotein
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CUDA-enabled hierarchical ward clustering of protein structures based on the nearest neighbour chain algorithm

2015

Clustering of molecular systems according to their three-dimensional structure is an important step in many bioinformatics workflows. In applications such as docking or structure prediction, many algorithms initially generate large numbers of candidate poses (or decoys), which are then clustered to allow for subsequent computationally expensive evaluations of reasonable representatives. Since the number of such candidates can easily range from thousands to millions, performing the clustering on standard central processing units (CPUs) is highly time consuming. In this paper, we analyse and evaluate different approaches to parallelize the nearest neighbour chain algorithm to perform hierarc…

0301 basic medicineSpeedupComputer scienceCorrelation clusteringParallel computingTheoretical Computer Science03 medical and health sciencesCUDA030104 developmental biologyHardware and ArchitectureCluster analysisAlgorithmSoftwareWard's methodThe International Journal of High Performance Computing Applications
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Model selection for factorial Gaussian graphical models with an application to dynamic regulatory networks.

2016

Abstract Factorial Gaussian graphical Models (fGGMs) have recently been proposed for inferring dynamic gene regulatory networks from genomic high-throughput data. In the search for true regulatory relationships amongst the vast space of possible networks, these models allow the imposition of certain restrictions on the dynamic nature of these relationships, such as Markov dependencies of low order – some entries of the precision matrix are a priori zeros – or equal dependency strengths across time lags – some entries of the precision matrix are assumed to be equal. The precision matrix is then estimated by l 1-penalized maximum likelihood, imposing a further constraint on the absolute value…

0301 basic medicineStatistics and ProbabilityFactorialDependency (UML)Computer scienceGaussianNormal Distributionpenalized inferencesparse networkscomputer.software_genreMachine learning01 natural sciencesNormal distribution010104 statistics & probability03 medical and health sciencessymbols.namesakeSparse networksGeneticsComputer SimulationGene Regulatory NetworksGraphical model0101 mathematicsgene-regulatory systemMolecular BiologyProbabilityMarkov chainModels GeneticPenalized inferencebusiness.industryModel selectiongraphical modelGene-regulatory systemsComputational Mathematics030104 developmental biologysymbolsA priori and a posterioriData miningArtificial intelligenceGraphical modelsSettore SECS-S/01 - StatisticabusinesscomputerNeisseriaAlgorithmsStatistical applications in genetics and molecular biology
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Diastereoselectivity of 5-Methyluridine Osmylation Is Inverted inside an RNA Chain

2016

In this study, we investigated the reaction of the osmium tetroxide-bipyridine complex with pyrimidines in RNA. This reagent, which reacts with the diastereotopic 5-6 double bond, thus leading to the formation of two diastereomers, was used in the past to label thymidine and 5-methylcytosine in DNA. In light of the growing interest in post-transcriptional RNA modifications, we addressed the question of whether this reagent could be used for labeling of the naturally occurring RNA modifications 5-methylcytosine and 5-methyluridine. On nucleoside level, 5-methylcytosine and 5-methyluridine revealed a 5- and 12-fold preference, respectively, over their nonmethylated equivalents. Performing the…

0301 basic medicineSteric effectsDouble bondPyridinesStereochemistryBiomedical EngineeringPharmaceutical ScienceBioengineering010402 general chemistry01 natural sciences03 medical and health scienceschemistry.chemical_compoundOrganometallic CompoundsUridinePharmacologychemistry.chemical_classificationOrganic ChemistryRNAStereoisomerism0104 chemical sciencesPyrimidines030104 developmental biologychemistryReagentRNA5-MethyluridineThymidineNucleosideDNABiotechnologyBioconjugate Chemistry
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A method for structure prediction of metal-ligand interfaces of hybrid nanoparticles

2019

Hybrid metal nanoparticles, consisting of a nano-crystalline metal core and a protecting shell of organic ligand molecules, have applications in diverse areas such as biolabeling, catalysis, nanomedicine, and solar energy. Despite a rapidly growing database of experimentally determined atom-precise nanoparticle structures and their properties, there has been no successful, systematic way to predict the atomistic structure of the metal-ligand interface. Here, we devise and validate a general method to predict the structure of the metal-ligand interface of ligand-stabilized gold and silver nanoparticles, based on information about local chemical environments of atoms in experimental data. In …

0301 basic medicineSteric effectsMaterials scienceInterface (Java)ScienceGeneral Physics and AstronomyNanoparticleNanotechnology02 engineering and technologyArticleGeneral Biochemistry Genetics and Molecular BiologySilver nanoparticleNanomaterials03 medical and health sciencesMoleculelcsh:ScienceMultidisciplinaryLigandQliganditGeneral Chemistrylaskennallinen kemia021001 nanoscience & nanotechnology030104 developmental biologyNanoparticlesAtomistic modelsNanomedicinelcsh:QMaterials chemistrynanohiukkaset0210 nano-technologyNature Communications
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Primary Sensorimotor Cortex Drives the Common Cortical Network for Gamma Synchronization in Voluntary Hand Movements

2018

Background: Gamma synchronization (GS) may promote the processing between functionally related cortico-subcortical neural populations. Our aim was to identify the sources of GS and to analyze the direction of information flow in cerebral networks at the beginning of phasic movements, and during medium-strength isometric contraction of the hand. Methods: We measured 64-channel electroencephalography in 11 healthy volunteers (age: 25 ± 8 years; four females); surface electromyography detected the movements of the dominant hand. In Task 1, subjects kept a constant medium-strength contraction of the first dorsal interosseus muscle, and performed a superimposed repetitive voluntary self-paced br…

0301 basic medicineThalamusPosterior parietal cortexIsometric exerciseElectromyographyElectroencephalographylcsh:RC321-57103 medical and health sciencesBehavioral Neuroscience0302 clinical medicinedirectionalitymedicinelcsh:Neurosciences. Biological psychiatry. NeuropsychiatryBiological PsychiatryOriginal ResearchPhysicsgamma synchronizationmedicine.diagnostic_testhand movementsSMA*Dorsolateral prefrontal cortexPsychiatry and Mental health030104 developmental biologyNeuropsychology and Physiological Psychologymedicine.anatomical_structureNeurologyconnectivitynetworkNeuroscience030217 neurology & neurosurgeryNeuroscienceMotor cortexFrontiers in Human Neuroscience
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2019

Golgi α-mannosidase II (GMII) is a glycoside hydrolase playing a crucial role in the N-glycosylation pathway. In various tumour cell lines, the distribution of N-linked sugars on the cell surface is modified and correlates with the progression of tumour metastasis. GMII therefore is a possible molecular target for anticancer agents. Here, we describe the identification of a non-competitive GMII inhibitor using computer-aided drug design methods including identification of a possible allosteric binding site, pharmacophore search and virtual screening.

0301 basic medicineVirtual screeningMultidisciplinaryChemistryCellAllosteric regulationGolgi apparatus010402 general chemistry01 natural sciencesEnzyme structure0104 chemical sciences03 medical and health sciencessymbols.namesake030104 developmental biologymedicine.anatomical_structureBiochemistrymedicinesymbolsGlycoside hydrolaseBinding sitePharmacophorePLOS ONE
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Prospects and challenges for computer simulations of monolayer-protected metal clusters

2021

Precise knowledge of chemical composition and atomic structure of functional nanosized systems, such as metal clusters stabilized by an organic molecular layer, allows for detailed computational work to investigate structure-property relations. Here, we discuss selected recent examples of computational work that has advanced understanding of how these clusters work in catalysis, how they interact with biological systems, and how they can make self-assembled, macroscopic materials. A growing challenge is to develop effective new simulation methods that take into account the cluster-environment interactions. These new hybrid methods are likely to contain components from electronic structure t…

0301 basic medicineWork (thermodynamics)Computational chemistryComputer scienceScienceGeneral Physics and AstronomyNanotechnology02 engineering and technologyElectronic structureGeneral Biochemistry Genetics and Molecular Biology03 medical and health sciencesklusteritMonolayerlaskennallinen tiedesimulointiLayer (object-oriented design)MultidisciplinaryQCommentGeneral Chemistry021001 nanoscience & nanotechnology030104 developmental biologyNanoparticlesnanohiukkaset0210 nano-technologySimulation methodsMetal clustersNature Communications
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Changes in Serine Racemase-Dependent Modulation of NMDA Receptor: Impact on Physiological and Pathological Brain Aging

2018

International audience; The N-methyl-D-Aspartate glutamate receptors (NMDARs) are pivotal for the functional and morphological plasticity that are required in neuronal networks for efficient brain activities and notably for cognitive-related abilities. Because NMDARs are heterogeneous in subunit composition and associated with multiple functional regulatory sites, their efficacy is under the tonic influence of numerous allosteric modulations, whose dysfunction generally represents the first step generating pathological states. Among the enzymatic candidates, serine racemase (SR) has recently gathered an increasing interest considering that it tightly regulates the production of D-serine, an…

0301 basic medicine[SDV]Life Sciences [q-bio]Allosteric regulation[SHS.PSY]Humanities and Social Sciences/PsychologyglutamateDiseaseReviewBiologyBiochemistry Genetics and Molecular Biology (miscellaneous)BiochemistryNMDA receptors[SHS.PSY] Humanities and Social Sciences/Psychology03 medical and health sciences0302 clinical medicineserine racemasemedicineMolecular BiosciencesAmyotrophic lateral sclerosislong term potentiationMolecular BiologyPathologicallcsh:QH301-705.5ComputingMilieux_MISCELLANEOUS[SCCO.NEUR]Cognitive science/Neuroscience[SCCO.NEUR] Cognitive science/NeuroscienceagingGlutamate receptorLong-term potentiationAlzheimer's diseasemedicine.diseaseMESH: NMDA receptors serine racemase aging Alzheimer’s disease D-serine long term potentiation glutamate[SDV] Life Sciences [q-bio]030104 developmental biologylcsh:Biology (General)d-serineSerine racemaseNMDA receptor[SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]Neuroscience030217 neurology & neurosurgeryFrontiers in Molecular Biosciences
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Biopreservation potential of lactic acid bacteria from Andean fermented food of vegetal origin

2017

Abstract Microbial fermentations have long represented a way of natural biopreservation of raw materials, which frequently originated new food products. Among them, traditionally fermented products still manufactured by native populations all around the world are source of lactic acid bacteria (LAB) strains with high biotechnological potential. LAB are food grade microorganisms and therefore a good alternative to chemicals to be applied in food preservation. A total of 130 LAB isolates recovered from “chicha” and “tocosh”, traditional fermented Andean products of vegetal origin, were screened for antimicrobial activities against spoiler fungi Meyerozyma guilliermondii CECT 1021 (synonym Pic…

0301 basic medicinebiologyChemistry030106 microbiologyAspergillus nigerfood and beverages04 agricultural and veterinary sciencesbiology.organism_classificationBiopreservationAntimicrobial040401 food scienceAspergillus parasiticusMicrobiology03 medical and health sciences0404 agricultural biotechnologyAspergillus oryzaeListeriaFood microbiologyPenicillium expansumFood ScienceBiotechnologyFood Control
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