Search results for "Factual"

showing 10 items of 359 documents

Antiproliferative Activity Predictor: A New Reliable In Silico Tool for Drug Response Prediction against NCI60 Panel.

2022

In vitro antiproliferative assays still represent one of the most important tools in the anticancer drug discovery field, especially to gain insights into the mechanisms of action of anticancer small molecules. The NCI-DTP (National Cancer Institute Developmental Therapeutics Program) undoubtedly represents the most famous project aimed at rapidly testing thousands of compounds against multiple tumor cell lines (NCI60). The large amount of biological data stored in the National Cancer Institute (NCI) database and many other databases has led researchers in the fields of computational biology and medicinal chemistry to develop tools to predict the anticancer properties of new agents in advan…

CurcuminDatabases FactualOrganic Chemistryligand-based toolsAntineoplastic AgentsGeneral MedicineSettore CHIM/08 - Chimica FarmaceuticaCatalysisComputer Science ApplicationsInorganic Chemistrymolecular descriptorsGI50Cell Line Tumorantiproliferative activity predictor; NCI60; DRUDIT; ligand-based tools; molecular descriptors; GI<sub>50</sub>Physical and Theoretical Chemistryantiproliferative activity predictorDRUDITNCI60Molecular BiologySpectroscopyInternational journal of molecular sciences
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The All-Rounder Sodalis: A New Bacteriome-Associated Endosymbiont of the Lygaeoid Bug Henestaris halophilus (Heteroptera: Henestarinae) and a Critica…

2017

International audience; Hemipteran insects are well-known in their ability to establish symbiotic relationships with bacteria. Among them, heteropteran insects present an array of symbiotic systems, ranging from the most common gut crypt symbiosis to the more restricted bacteriome-associated endosymbiosis, which have only been detected in members of the superfamily Lygaeoidea and the family Cimicidae so far. Genomic data of heteropteran endosymbionts are scarce and have merely been analyzed from the Wolbachia endosymbiont in bed bug and a few gut crypt-associated symbionts in pentatomoid bugs. In this study, we present the first detailed genomic analysis of a bacteriome-associated endosymbi…

DNA BacterialendosymbiosisDatabases Factualmolecular evolution[SDV]Life Sciences [q-bio]fungiSequence Analysis DNAcomparative genomicsbiochemical phenomena metabolism and nutritionLygaeoideaEvolution MolecularHeteropterataxonomyEnterobacteriaceaeGenome SizeAnimalsbacteriaSymbiosismetabolismGenome BacterialMetabolic Networks and PathwaysPhylogenyPseudogenesResearch Article
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Identification of the mstE Gene Encoding a Glucose-inducible, Low Affinity Glucose Transporter in Aspergillus nidulans

2006

The mstE gene encoding a low affinity glucose transporter active during the germination of Aspergillus nidulans conidia on glucose medium has been identified. mstE expression also occurs in hyphae, is induced in the presence of other repressing carbon sources besides glucose, and is dependent on the function of the transcriptional repressor CreA. The expression of MstE and its subcellular distribution have been studied using a MstE-sGFP fusion protein. Concordant with data on mstE expression, MstE-sGFP is synthesized in the presence of repressing carbon sources, and fluorescence at the periphery of conidia and hyphae is consistent with MstE location in the plasma membrane. Deletion of mstE …

DNA ComplementaryDatabases FactualMonosaccharide Transport ProteinsRecombinant Fusion ProteinsGlucose uptakeGenes FungalGreen Fluorescent ProteinsMolecular Sequence DataHyphaeRepressorBiochemistryAspergillus nidulansSubstrate SpecificityFungal ProteinsCell membraneAspergillus nidulansGene Expression Regulation FungalmedicineAmino Acid SequenceMolecular BiologyGenePhylogenyExpressed Sequence TagsFungal proteinbiologyCell MembranefungiGlucose transporterCell BiologySpores FungalBlotting Northernbiology.organism_classificationFusion proteinRepressor ProteinsKineticsGlucosemedicine.anatomical_structureMicroscopy FluorescenceBiochemistryGene DeletionJournal of Biological Chemistry
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Preventive strategies and factors associated with surgically treated necrotising enterocolitis in extremely preterm infants: an international unit su…

2019

ObjectivesTo compare necrotising enterocolitis (NEC) prevention practices and NEC associated factors between units from eight countries of the International Network for Evaluation of Outcomes of Neonates, and to assess their association with surgical NEC rates.DesignProspective unit-level survey combined with retrospective cohort study.SettingNeonatal intensive care units in Australia/New Zealand, Canada, Finland, Israel, Spain, Sweden, Switzerland and Tuscany (Italy).PatientsExtremely preterm infants born between 240to 286weeks’ gestation, with birth weights&lt;1500 g, and admitted between 2014–2015.ExposuresNEC prevention practices (probiotics, feeding, donor milk) using responses of an o…

Data AnalysisMalePediatricsInternationalityDatabases FactualInfant Premature Diseases2700 General Medicinepaediatric gastroenterologyCohort Studiesperinatology0302 clinical medicineRisk FactorsCause of DeathSurveys and QuestionnairesHospital Mortality1506030212 general & internal medicineOriginal ResearchIncidence (epidemiology)General MedicinePrognosis3. Good healthPrimary PreventionTreatment OutcomeInfant Extremely PrematureCohortGestationFemale1719Cohort studymedicine.medical_specialty610 Medicine & healthneonatologySepsis03 medical and health sciencesEnterocolitis NecrotizingIntensive Care Units Neonatal030225 pediatricsIntensive caremedicineHumansNeonatologyRetrospective Studiesbusiness.industryProbioticsInfant NewbornPaediatricsRetrospective cohort studymedicine.disease10027 Clinic for NeonatologySurvival Analysisdigestive system diseasesbusiness
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IMI – Oral biopharmaceutics tools project – Evaluation of bottom-up PBPK prediction success part 4: Prediction accuracy and software comparisons with…

2020

Oral drug absorption is a complex process depending on many factors, including the physicochemical properties of the drug, formulation characteristics and their interplay with gastrointestinal physiology and biology. Physiological-based pharmacokinetic (PBPK) models integrate all available information on gastro-intestinal system with drug and formulation data to predict oral drug absorption. The latter together with in vitro-in vivo extrapolation and other preclinical data on drug disposition can be used to predict plasma concentration-time profiles in silico. Despite recent successes of PBPK in many areas of drug development, an improvement in their utility for evaluating oral absorption i…

Data AnalysisPhysiologically based pharmacokinetic modellingDatabases FactualAdministration OralPharmaceutical Science02 engineering and technologyMachine learningcomputer.software_genreModels Biological030226 pharmacology & pharmacyBiopharmaceuticsPharmaceutical Sciences03 medical and health sciences0302 clinical medicineSoftwarePharmacokineticsHumansClinical Trials as Topicbusiness.industryCompound specificBiopharmaceuticsGeneral MedicineFarmaceutiska vetenskaper021001 nanoscience & nanotechnologyBioavailabilityIntestinal AbsorptionPharmaceutical PreparationsDrug developmentPerformance indicatorArtificial intelligence0210 nano-technologybusinesscomputerSoftwareForecastingBiotechnologyEuropean Journal of Pharmaceutics and Biopharmaceutics
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Controlling false match rates in record linkage using extreme value theory

2011

AbstractCleansing data from synonyms and homonyms is a relevant task in fields where high quality of data is crucial, for example in disease registries and medical research networks. Record linkage provides methods for minimizing synonym and homonym errors thereby improving data quality. We focus our attention to the case of homonym errors (in the following denoted as ‘false matches’), in which records belonging to different entities are wrongly classified as equal. Synonym errors (‘false non-matches’) occur when a single entity maps to multiple records in the linkage result. They are not considered in this study because in our application domain they are not as crucial as false matches. Fa…

Data cleansingData cleansingBiomedical ResearchDatabases FactualCalibration (statistics)Computer scienceHealth Informaticscomputer.software_genrePlot (graphics)Mean excess plotStatisticsRegistriesExtreme value theoryLinkage (software)Models StatisticalComputational BiologyFellegi–Sunter modelMixture modelGeneralized Pareto distributionComputer Science ApplicationsData qualityStatistics of extreme valuesDatabase Management SystemsMedical Record LinkageData miningcomputerAlgorithmsMedical InformaticsRecord linkageJournal of Biomedical Informatics
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Nationwide evaluation of day-to-day clinical pharmacists' interventions in German hospitals.

2015

tudy Objective To describe and evaluate the extent and diversity of nationwide data from clinical pharmacists’ interventions (PIs) in German hospitals. Design Retrospective analysis. Data Source The ADKA-DokuPIK German database, a national anonymous self-reported Internet-based documentation system for routine PIs as well as for medication errors reported by German hospital pharmacists. Measurements and Main Results Data sets from ADKA-DokuPIK entered between January 2009 and December 2012 were analyzed descriptively. A total of 27,610 PIs were entered, mainly by ward-based clinical pharmacists (82.5%). Most of the PIs were performed on surgical wards (37.8%), followed by anesthesiology/int…

Data sourcemedicine.medical_specialtyDatabases Factualbusiness.industryPsychological interventionIntensive care unitlanguage.human_languagelaw.inventionGermanClinical pharmacySafety-Based Drug WithdrawalslawAnesthesiologyGermanyAntithromboticEmergency medicinemedicinelanguageAdverse Drug Reaction Reporting SystemsHumansMedication ErrorsPharmacology (medical)Day to daybusinessPharmacy Service HospitalPharmacotherapy
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Assessing the format and content of journal published and non-journal published rapid review reports: A comparative study

2020

Background As production of rapid reviews (RRs) increases in healthcare, knowing how to efficiently convey RR evidence to various end-users is important given they are often intended to directly inform decision-making. Little is known about how often RRs are produced in the published or unpublished domains, and what and how information is structured. Objectives To compare and contrast report format and content features of journal-published (JP) and non-journal published (NJP) RRs. Methods JP RRs were identified from key databases, and NJP RRs were identified from a grey literature search of 148 RR producing organizations and were sampled proportionate to cluster size by organization and pro…

Databases Factual ; Peer Review Research ; PublishingMedical JournalsStructural EngineeringDatabases FactualSciencePeer ReviewDecision MakingMEDLINESocial SciencesResearch and Analysis Methods03 medical and health sciencesDatabase and Informatics Methods0302 clinical medicineCognitionMedicine and Health SciencesPsychology030212 general & internal medicineDatabase SearchingScientific PublishingLanguagePeer Review ResearchPublishingMultidisciplinaryInformation retrievalExecutive summaryHealth Care Policy030503 health policy & servicesQRCognitive PsychologyBiology and Life SciencesGrey literatureResearch AssessmentBuilt StructuresFull ProtocolHealth CareCluster sizeMedicineCognitive ScienceEngineering and Technology0305 other medical sciencePsychologyMedical HumanitiesResearch ArticleNeurosciencePLoS ONE
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Validation of the SOS/umu test using test results of 486 chemicals and comparison with the Ames test and carcinogenicity data

1996

The present study gives a comprehensive update of all umu genotoxicity assay results published so far. The available data of 486 chemicals investigated with the umu test are compared with the Ames test (274 compounds) as well as rodent carcinogenicity data (179 compounds). On the whole, there is good agreement between the umu test and the Ames test results, with a concordance of about 90%. The umu test was able to detect 86% of the Ames mutagens, while the Ames test (using at least 5 strains) detected 97% of the umu positive compounds. The elimination of TA102 from the set of Ames tester strains reduced the percentage of detectable umu genotoxins from 97 to 86%. The agreement between carcin…

Databases FactualCarcinogenicity TestsRodentiaDNA-Directed DNA PolymeraseToxicologymedicine.disease_causeRodent carcinogenicityAmes testToxicologychemistry.chemical_compoundBacterial ProteinsOperonGeneticsCarcinogenicity testingmedicineAnimalsDegree of certaintySOS Response GeneticsCarcinogenMutagenicity TestsChemistryEscherichia coli ProteinsReproducibility of ResultsGene Expression Regulation BacterialMolecular biologyFurylfuramideMutagenesisGenotoxicityMutation Research/Genetic Toxicology
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PyCellBase, an efficient python package for easy retrieval of biological data from heterogeneous sources.

2019

Background Biological databases and repositories are incrementing in diversity and complexity over the years. This rapid expansion of current and new sources of biological knowledge raises serious problems of data accessibility and integration. To handle the growing necessity of unification, CellBase was created as an integrative solution. CellBase provides a centralized NoSQL database containing biological information from different and heterogeneous sources. Access to this information is done through a RESTful web service API, which provides an efficient interface to the data. Results In this work we present PyCellBase, a Python package that provides programmatic access to the rich RESTfu…

Databases FactualComputer scienceAnnotationBiological databaseRESTfulcomputer.software_genreNoSQLlcsh:Computer applications to medicine. Medical informaticsBiochemistryDatabase03 medical and health sciencesAnnotationUser-Computer Interface0302 clinical medicineInstallationStructural BiologyVariantMolecular Biologylcsh:QH301-705.5030304 developmental biologycomputer.programming_language0303 health sciencesBiological dataDatabaseApplied MathematicsRepositoryComputational BiologyPython (programming language)CellBaseComputer Science Applicationslcsh:Biology (General)Scripting language030220 oncology & carcinogenesislcsh:R858-859.7Web servicecomputerSoftwarePython
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