Search results for "SAC"

showing 10 items of 3337 documents

Statistical analysis of yeast genomic downstream sequences reveals putative polyadenylation signals

2000

The study of a few genes has permitted the identification of three elements that constitute a yeast polyadenyl­ation signal: the efficiency element (EE), the positioning element and the actual site for cleavage and poly­adenyl­ation. In this paper we perform an analysis of oligonucleotide composition on the sequences located downstream of the stop codon of all yeast genes. Several oligonucleotide families appear over-represented with a high significance (referred to herein as"words"). The family with the highest over-representation includes the oligonucleotides shown experimentally to play a role as EEs. The word with the highest score is TATATA, followed, among others, by a series of singl…

Expressed Sequence TagsGeneticsExpressed sequence tagBase SequencePolyadenylation[SDV]Life Sciences [q-bio]Saccharomyces cerevisiaeSaccharomyces cerevisiaeBiologybiology.organism_classificationSaccharomycesArticleYeastStop codonSaccharomycesGeneticsCluster Analysis[INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM]Genome FungalORFSPoly AGeneComputingMilieux_MISCELLANEOUS
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Neuronal FGFR1 transactivation by inducing FGFR1/5-HT1A heteroreceptor complexes formation

2011

There are no clear data on the molecular mechanism by which the hippocampal 5-HT transmission contributes to the neuroprotective and antidepressant effects of 5-HT uptake blockers. Previously, we revealed that a 5-HT1A agonist may induce phosphorylation of FGFR1 and ERK1/2 in rat hippocampus independent of FGF-2, suggesting transactivation of FGFR1 tyrosine kinase in the absence of neurotrophic factor binding. As extension of previous work, using BRET analysis and coimmunoprecipitation in cellular models, FGFR1-5-HT1A heteroreceptor complexes have been demonstrated and agonist modulation characterized. In vitro assays on ERK1/2 phosphorylation in HEK cells and primary hippocampal cultures h…

FGFR1 5HT1A transactivation
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SIFT Matching by Context Exposed

2023

This paper investigates how to step up local image descriptor matching by exploiting matching context information. Two main contexts are identified, originated respectively from the descriptor space and from the keypoint space. The former is generally used to design the actual matching strategy while the latter to filter matches according to the local spatial consistency. On this basis, a new matching strategy and a novel local spatial filter, named respectively blob matching and Delaunay Triangulation Matching (DTM) are devised. Blob matching provides a general matching framework by merging together several strategies, including rank-based pre-filtering as well as many-to-many and symmetri…

FOS: Computer and information sciencesArtificial neural networkSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniBenchmark testingRANSAClocal image descriptorSettore INF/01 - InformaticaApplied MathematicsComputer Vision and Pattern Recognition (cs.CV)Computer Science - Computer Vision and Pattern RecognitionTransformDetectorDelaunay triangulationMerginglocal spatial filterimage contextComputational Theory and MathematicsArtificial IntelligenceKeypoint matchingSIFTPipelineTrainingComputer Vision and Pattern RecognitionSoftware
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Towards Responsible AI for Financial Transactions

2020

Author's accepted manuscript. © 2020 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. The application of AI in finance is increasingly dependent on the principles of responsible AI. These principles-explainability, fairness, privacy, accountability, transparency and soundness form the basis for trust in future AI systems. In this empirical study, we address the first p…

FOS: Computer and information sciencesComputer Science - Machine LearningComputer scienceComputer Science - Artificial IntelligenceDecision tree02 engineering and technologyMachine learningcomputer.software_genreMachine Learning (cs.LG)Empirical research020204 information systems0202 electrical engineering electronic engineering information engineeringRobustness (economics)Categorical variableVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550Soundnessbusiness.industryDocument clusteringTransparency (behavior)ComputingMethodologies_PATTERNRECOGNITIONArtificial Intelligence (cs.AI)Financial transaction020201 artificial intelligence & image processingArtificial intelligencebusinesscomputer
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The cyclopentenone-type prostaglandin 15-deoxy-delta12,14-prostaglandin J2 inhibits CD95 ligand gene expression in T lymphocytes: interference with p…

2003

Abstract 15-Deoxy-Δ12,14-PGJ2 (15d-PGJ2) is a cyclopentenone-type PG endowed with anti-inflammatory properties and produced by different cells, including those of the immune system. 15d-PGJ2 is a natural ligand of the peroxisome proliferator-activated receptor (PPAR)-γ nuclear receptor, but relevant PPARγ-independent actions mediated by this prostanoid have been described. Fas (APO-1/CD95) and its ligand (Fas-L) are cell surface proteins whose interaction activates apoptosis of Fas-expressing targets. In T cells, the Fas-Fas-L system regulates activation-induced cell death and has been implicated in diseases in which lymphocyte homeostasis is compromised. Moreover, several studies have desc…

Fas Ligand ProteinNerve growth factor IBT-LymphocytesImmunologyPeroxisome proliferator-activated receptorReceptors Cytoplasmic and NuclearApoptosisCyclopentanesBiologyLigandsLymphocyte ActivationJurkat cellsImmediate-Early ProteinsTransactivationchemistry.chemical_compoundJurkat CellsMiceHeat Shock Transcription FactorsPeroxisomesImmunology and AllergyAnimalsHumansHSP70 Heat-Shock ProteinsGene Silencingfas ReceptorReceptorPromoter Regions GeneticCell Line TransformedEarly Growth Response Protein 1chemistry.chemical_classificationHybridomasMembrane GlycoproteinsProstaglandin D2Fas receptorMolecular biologyDNA-Binding ProteinschemistryNuclear receptorlipids (amino acids peptides and proteins)Prostaglandin D2Transcription Factors
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Mass spectral identification of the blocked N-terminal tryptic peptide of the ATPase inhibitor from beef heart mitochondria

1984

AbstractThe presence of a formyl blocking group at the N-terminus of the ATPase inhibitor has been identified and the partial sequence of the N-terminal peptide has been determined by fast atom bombardment and field desorption coupled to mass spectrometry. Minor discrepancies in amino acid sequence of the inhibitor between the present and published data [(1981) Proc. Natl. Acad. Sci. USA 78, 7403-7407] are reported and its relationships with other inhbitors are briefly discussed.

Fast atom bombardmentATPaseBiophysicsPeptideN-formyi blocking groupSaccharomyces cerevisiaeMass spectrometryBiochemistryMass SpectrometryMitochondria HeartSpecies SpecificityStructural BiologyEndopeptidasesGeneticsAnimalsTrypsinAmino Acid SequenceMolecular BiologyPeptide sequencechemistry.chemical_classificationBeef heart mitochondriabiologyChemistryTryptic peptideProteinsCell BiologyFast atom bombardmentField desorption Amino acid sequenceATPase inhibitorPeptide FragmentsMitochondriaProton-Translocating ATPasesBiochemistrybiology.proteinCattleFEBS Letters
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A multi-layer method to study genome-scale positions of nucleosomes

2009

AbstractThe basic unit of eukaryotic chromatin is the nucleosome, consisting of about 150 bp of DNA wrapped around a protein core made of histone proteins. Nucleosomes position is modulated in vivo to regulate fundamental nuclear processes. To measure nucleosome positions on a genomic scale both theoretical and experimental approaches have been recently reported. We have developed a new method, Multi-Layer Model (MLM), for the analysis of nucleosome position data obtained with microarray-based approach. The MLM is a feature extraction method in which the input data is processed by a classifier to distinguish between several kinds of patterns. We applied our method to simulated-synthetic and…

Feature extractionNucleosome positioningGenomicsSaccharomyces cerevisiaeComputational biologyHidden Markov Modelchemistry.chemical_compoundSettore BIO/10 - BiochimicaNucleosome positioning Hidden Markov Model Classification Multi-layer methodGeneticsHumansNucleosomeMulti-layer methodHidden Markov modelBase PairingMulti layerOligonucleotide Array Sequence AnalysisGeneticsBase SequenceSettore INF/01 - InformaticabiologyGenome HumanClassificationMarkov ChainsNucleosomesChromatinHistonechemistrybiology.proteinDNAGenomics
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Musica, potere e condizione femminile nei monasteri palermitani (secoli XVII-XVIII)

Musical activities in Palermo’s convents have so far received little scholarly attention, even though there is ample evidence of their importance. Indeed, in Palermo’s cloisters the promotion of music was able to go beyond architectural divisions and dissolve the conventional boundaries of space. Therefore, music acted as a powerful device of communication between the internal and external dimensions, as well as a means for asserting a social status which nuns and novices didn’t want to give up. However, while on the one hand the expenses for musical activities were recurring, on the other it is not easy to assess the direct contribution of the nuns to the musical practice. On the contrary,…

Female conventWomen and CultureWomenNunMusic in conventSacred MusicPalermo
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Temperature Adaptation Markedly Determines Evolution within the Genus Saccharomyces

2011

12 pages, 7 figures, 3 tables

Fermentation in winemakingHot TemperatureEcologyBiologybiology.organism_classificationAdaptation PhysiologicalBiological EvolutionApplied Microbiology and BiotechnologyParadoxusSaccharomycesYeastCold TemperatureSaccharomycesPhylogeneticsBotanyAdaptationPsychrophilePhylogenySaccharomyces kudriavzeviiFood ScienceBiotechnologyApplied and Environmental Microbiology
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Enzyme contribution of non-Saccharomyces yeasts to wine production

2015

The fermentation of grape must to produce wine is a biologically complex process, carried on by yeasts and malolactic bacteria. The yeasts present in spontaneous fermentation may be divided into two groups, the Saccharomyces yeasts, particularly S. cerevisiae, and the non-Saccharomyces yeasts which include members of the genera Rhodotorula, Pichia, Candida, Debaryomyces, Metschtnikowia, Hansenula and Hanseniaspora. S. cerevisiae yeasts are able to convert sugar into ethanol and CO2 via fermentation. They have been used for thousands of years by mankind for the production of fermented beverages and foods, including wine. Their enzymes provide interesting wine organoleptic characteristics. β-…

Fermentation in winemakingWineViticulturafood and beveragesMicrobiologiaProteins in wineWine faultBiologyHanseniasporabiology.organism_classificationSaccharomycesYeast in winemakingMalolactic fermentationFood science
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