Search results for " Cluster"

showing 10 items of 2162 documents

Pharmacogenomics of Scopoletin in Tumor Cells

2016

Drug resistance and the severe side effects of chemotherapy necessitate the development of novel anticancer drugs. Natural products are a valuable source for drug development. Scopoletin is a coumarin compound, which can be found in several Artemisia species and other plant genera. Microarray-based RNA expression profiling of the NCI cell line panel showed that cellular response of scopoletin did not correlate to the expression of ATP-binding cassette (ABC) transporters as classical drug resistance mechanisms (ABCB1, ABCB5, ABCC1, ABCG2). This was also true for the expression of the oncogene EGFR and the mutational status of the tumor suppressor gene, TP53. However, mutations in the RAS onc…

0301 basic medicinePharmaceutical ScienceATP-binding cassette transporterDrug resistancePharmacologycoumarinAnalytical Chemistrychemistry.chemical_compound0302 clinical medicineNeoplasmsDrug DiscoveryABC-transportermicroarraysNF-kappa BABCB5Drug Resistance MultipleGene Expression Regulation NeoplasticMolecular Docking SimulationDrug developmentChemistry (miscellaneous)030220 oncology & carcinogenesisherbal medicineMolecular MedicineSignal TransductionTumor suppressor geneProtein Array AnalysisBiologyArticlelcsh:QD241-44103 medical and health scienceslcsh:Organic chemistrymultidrug resistanceCell Line TumorScopoletinHumansPhysical and Theoretical ChemistryTranscription factorScopoletinOncogenePlant ExtractsOrganic ChemistryTranscription Factor RelAphytotherapy030104 developmental biologyArtemisiachemistryDrug Resistance NeoplasmPharmacogeneticsCancer researchABC-transporter; cluster analysis; coumarin; herbal medicine; microarrays; multidrug resistance; phytotherapyATP-Binding Cassette Transporterscluster analysisMolecules
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Innovative Strategies to Develop Chemical Categories Using a Combination of Structural and Toxicological Properties.

2016

Interest is increasing in the development of non-animal methods for toxicological evaluations. These methods are however, particularly challenging for complex toxicological endpoints such as repeated dose toxicity. European Legislation, e.g., the European Union's Cosmetic Directive and REACH, demands the use of alternative methods. Frameworks, such as the Read-across Assessment Framework or the Adverse Outcome Pathway Knowledge Base, support the development of these methods. The aim of the project presented in this publication was to develop substance categories for a read-across with complex endpoints of toxicity based on existing databases. The basic conceptual approach was to combine str…

0301 basic medicineQuantitative structure–activity relationshipread acrossPredictive Clustering Tree (PCT) methodComputer science610010501 environmental sciencescomputer.software_genre600 Technik Medizin angewandte Wissenschaften::610 Medizin und Gesundheit01 natural sciences03 medical and health sciencesPharmacology (medical)Cluster analysis0105 earth and related environmental sciencesOriginal ResearchAlternative methodsPharmacologytoxicological and structural similaritybusiness.industryQSARlcsh:RM1-950non-animal methods; QSAR; readacross; Predictive Clustering Tree (PCT) method; toxicological and structural similarityIdentification (information)Tree (data structure)030104 developmental biologyConceptual approachlcsh:Therapeutics. PharmacologyKnowledge basenon-animal methodsData miningWeb servicebusinesscomputerFrontiers in pharmacology
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Identification of a large, fast-expanding HIV-1 subtype B transmission cluster among MSM in Valencia, Spain

2017

We describe and characterize an exceptionally large HIV-1 subtype B transmission cluster occurring in the Comunidad Valenciana (CV, Spain). A total of 1806 HIV-1 protease-reverse transcriptase (PR/RT) sequences from different patients were obtained in the CV between 2004 and 2014. After subtyping and generating a phylogenetic tree with additional HIV-1 subtype B sequences, a very large transmission cluster which included almost exclusively sequences from the CV was detected (n = 143 patients). This cluster was then validated and characterized with further maximum-likelihood phylogenetic analyses and Bayesian coalescent reconstructions. With these analyses, the CV cluster was delimited to 11…

0301 basic medicineRNA virusesMaleEpidemiologyLineage (evolution)lcsh:MedicineHIV InfectionsPathology and Laboratory MedicineMen who have sex with menCoalescent theorylaw.inventionGeographical LocationsDatabase and Informatics MethodsImmunodeficiency VirusesHIV ProteaselawMedicine and Health Scienceslcsh:ScienceValenciaPhylogenyMultidisciplinarybiologyPhylogenetic treePhylogenetic AnalysisHIV diagnosis and managementSubtypingHIV Reverse TranscriptaseVirusEuropeTransmission (mechanics)Medical MicrobiologyHIV epidemiologyViral PathogensVirusesFemalePathogensMalalties de transmissió sexualSequence AnalysisResearch ArticleBioinformaticsDisease clusterResearch and Analysis MethodsMicrobiology03 medical and health sciencesRetrovirusesDrug Resistance ViralHumansHomosexuality MaleMolecular Biology TechniquesMicrobial PathogensMolecular BiologyDemographyMolecular Biology Assays and Analysis Techniqueslcsh:RLentivirusOrganismsBiology and Life SciencesHIVbiology.organism_classificationDiagnostic medicine030104 developmental biologySpainpol Gene Products Human Immunodeficiency VirusPeople and PlacesHIV-1lcsh:QSequence AlignmentDemography
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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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parSRA: A framework for the parallel execution of short read aligners on compute clusters

2018

The growth of next generation sequencing datasets poses as a challenge to the alignment of reads to reference genomes in terms of both accuracy and speed. In this work we present parSRA, a parallel framework to accelerate the execution of existing short read aligners on distributed-memory systems. parSRA can be used to parallelize a variety of short read alignment tools installed in the system without any modification to their source code. We show that our framework provides good scalability on a compute cluster for accelerating the popular BWA-MEM and Bowtie2 aligners. On average, it is able to accelerate sequence alignments on 16 64-core nodes (in total, 1024 cores) with speedup of 10.48 …

0301 basic medicineSource codeSpeedupGeneral Computer ScienceComputer sciencemedia_common.quotation_subjectParallel computingSupercomputerTheoretical Computer Science03 medical and health sciences030104 developmental biology0302 clinical medicine030220 oncology & carcinogenesisModeling and SimulationComputer clusterScalabilityFuse (electrical)Node (circuits)Partitioned global address spacemedia_commonJournal of Computational Science
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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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panISa: ab initio detection of insertion sequences in bacterial genomes from short read sequence data.

2018

Abstract Motivation The advent of next-generation sequencing has boosted the analysis of bacterial genome evolution. Insertion sequence (IS) elements play a key role in prokaryotic genome organization and evolution, but their repetitions in genomes complicate their detection from short-read data. Results PanISa is a software pipeline that identifies IS insertions ab initio in bacterial genomes from short-read data. It is a highly sensitive and precise tool based on the detection of read-mapping patterns at the insertion site. PanISa performs better than existing IS detection systems as it is based on a database-free approach. We applied it to a high-risk clone lineage of the pathogenic spec…

0301 basic medicineStatistics and ProbabilityLineage (genetic)Computer scienceAb initioComputational biologyBacterial genome size[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE]BiochemistryGenome[INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing03 medical and health sciences[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR][SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]Insertion sequenceMolecular BiologyGenomic organizationHigh-Throughput Nucleotide SequencingSequence Analysis DNA[SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM][SDV.MP.BAC]Life Sciences [q-bio]/Microbiology and Parasitology/BacteriologyPipeline (software)[INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationComputer Science ApplicationsComputational Mathematics030104 developmental biologyComputational Theory and Mathematics[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]DNA Transposable Elements[INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET][INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]Genome BacterialSoftwareBioinformatics (Oxford, England)
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Simulation-based estimation of branching models for LTR retrotransposons

2017

Abstract Motivation LTR retrotransposons are mobile elements that are able, like retroviruses, to copy and move inside eukaryotic genomes. In the present work, we propose a branching model for studying the propagation of LTR retrotransposons in these genomes. This model allows us to take into account both the positions and the degradation level of LTR retrotransposons copies. In our model, the duplication rate is also allowed to vary with the degradation level. Results Various functions have been implemented in order to simulate their spread and visualization tools are proposed. Based on these simulation tools, we have developed a first method to evaluate the parameters of this propagation …

0301 basic medicineStatistics and ProbabilitySource codeTheoretical computer scienceRetroelementsmedia_common.quotation_subjectRetrotransposon[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE]BiologyBiochemistryGenomeChromosomesBranching (linguistics)[INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing03 medical and health sciences[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR]SoftwareAnimalsComputer SimulationMolecular BiologyComputingMilieux_MISCELLANEOUSmedia_commoncomputer.programming_languageGeneticsGenomeModels Geneticbusiness.industry[SDV.BID.EVO]Life Sciences [q-bio]/Biodiversity/Populations and Evolution [q-bio.PE]Python (programming language)[SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM][INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationComputer Science ApplicationsVisualizationComputational Mathematics030104 developmental biologyDrosophila melanogasterComputational Theory and Mathematics[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]Programming Languages[INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET]Mobile genetic elements[INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]businesscomputerSoftware
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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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Parallel algorithms for large-scale biological sequence alignment on Xeon-Phi based clusters

2016

Computing alignments between two or more sequences are common operations frequently performed in computational molecular biology. The continuing growth of biological sequence databases establishes the need for their efficient parallel implementation on modern accelerators. This paper presents new approaches to high performance biological sequence database scanning with the Smith-Waterman algorithm and the first stage of progressive multiple sequence alignment based on the ClustalW heuristic on a Xeon Phi-based compute cluster. Our approach uses a three-level parallelization scheme to take full advantage of the compute power available on this type of architecture; i.e. cluster-level data par…

0301 basic medicineXeon Phi clustersComputer scienceData parallelismParallel algorithm02 engineering and technologyDynamic programmingBiochemistryPairwise sequence alignmentComputational science03 medical and health sciencesStructural BiologyComputer cluster0202 electrical engineering electronic engineering information engineeringAmino Acid SequenceDatabases ProteinMolecular Biology020203 distributed computingResearchApplied MathematicsComputational BiologyProteinsSmith-WatermanComputer Science Applications030104 developmental biologyMultiple sequence alignmentDatabases Nucleic AcidSequence AlignmentAlgorithmsSoftwareXeon PhiBMC Bioinformatics
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