Search results for "biological data"

showing 10 items of 53 documents

Multivariate analysis in the identification of biological targets for designed molecular structures: The BIOTA protocol

2013

In this work the new protocol BIOlogical Target Assignation (BIOTA) for the prediction of the biological target from molecular structures is proposed. BIOTA is based on the Principal Components Analysis (PCA) application on a matrix of ligands versus molecular descriptors. The application of BIOTA could allow to hypothesize the mechanism of action of a candidate drug prior to its biological evaluation or to repurpose old drugs. The protocol can be fine-tuned by choosing opportune targets (biological or not) and molecular descriptors, and it can be useful in every fields in with it is possible to collect set of compounds with known properties. The robustness of the protocol depends from diff…

CorrectnessComputational biologyBiologyBioinformaticsMolecular descriptorDrug DiscoveryHumansHSP90 Heat-Shock ProteinsMolecular Targeted TherapyPharmacologyPrincipal Component AnalysisBiological dataintegumentary systemBIOTA protocol Biological target Inhibitors PCA Drugs repurposingfungiOrganic ChemistryDrug RepositioningRobustness (evolution)BiotaGeneral MedicineSettore CHIM/08 - Chimica FarmaceuticaBiological targetSettore CHIM/03 - Chimica Generale E InorganicaMultivariate AnalysisPrincipal component analysisIdentification (biology)
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Network reconstruction for trans acting genetic loci using multi-omics data and prior information.

2022

Background: Molecular measurements of the genome, the transcriptome, and the epigenome, often termed multi-omics data, provide an in-depth view on biological systems and their integration is crucial for gaining insights in complex regulatory processes. These data can be used to explain disease related genetic variants by linking them to intermediate molecular traits (quantitative trait loci, QTL). Molecular networks regulating cellular processes leave footprints in QTL results as so-called trans-QTL hotspots. Reconstructing these networks is a complex endeavor and use of biological prior information can improve network inference. However, previous efforts were limited in the types of priors…

Data Integrationeducation.field_of_studyComputer scienceScale (chemistry)Bayesian probabilityPopulationQuantitative Trait LociBiological databaseInferenceData Integration ; Machine Learning ; Multi-omics ; Network Inference ; Personalized Medicine ; Prior Information ; Simulation ; Systems BiologyComputational biologyQuantitative trait locusReplication (computing)Machine LearningPrior probabilityCohortGeneticsMolecular MedicineHumans:Medicine [Science]Gene Regulatory NetworkseducationTranscriptomeMolecular BiologyGenetics (clinical)Genome medicine
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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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Human exome and mouse embryonic expression data implicate ZFHX3, TRPS1, and CHD7 in human esophageal atresia

2020

Introduction Esophageal atresia with or without tracheoesophageal fistula (EA/TEF) occurs approximately 1 in 3.500 live births representing the most common malformation of the upper digestive tract. Only half a century ago, EA/TEF was fatal among affected newborns suggesting that the steady birth prevalence might in parts be due to mutational de novo events in genes involved in foregut development. Methods To identify mutational de novo events in EA/TEF patients, we surveyed the exome of 30 case-parent trios. Identified and confirmed de novo variants were prioritized using in silico prediction tools. To investigate the embryonic role of genes harboring prioritized de novo variants we perfor…

EmbryologyCandidate geneGene ExpressionTranscriptomeMiceDatabase and Informatics MethodsMedicine and Health SciencesExomeExomeExome sequencingGenetics0303 health sciencesMultidisciplinaryComputer-Aided Drug DesignQ030305 genetics & hereditySequence analysisRGenomicsCongenital AnomaliesDNA-Binding Proteinsembryonic structuresAmino Acid AnalysisMedicineTranscriptome AnalysisTracheoesophageal FistulaResearch ArticleDrug Research and DevelopmentBioinformaticsSequence analysisScienceIn silicoBiologyResearch and Analysis Methods03 medical and health sciencesExome SequencingGeneticsCongenital DisordersAnimalsHumansddc:610Molecular Biology TechniquesEsophageal AtresiaMolecular BiologyDNA sequence analysis030304 developmental biologyHomeodomain ProteinsPharmacologyMolecular Biology Assays and Analysis TechniquesGene Expression ProfilingEmbryosDNA HelicasesBiology and Life SciencesComputational BiologyEmbryo MammalianGenome AnalysisFANCBRepressor ProteinsGene expression profilingBiological DatabasesDrug DesignMutation DatabasesMutationDevelopmental Biology
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Three-dimensional cardiac computational modelling: methods, features and applications

2015

[EN] The combination of computational models and biophysical simulations can help to interpret an array of experimental data and contribute to the understanding, diagnosis and treatment of complex diseases such as cardiac arrhythmias. For this reason, three-dimensional (3D) cardiac computational modelling is currently a rising field of research. The advance of medical imaging technology over the last decades has allowed the evolution from generic to patient-specific 3D cardiac models that faithfully represent the anatomy and different cardiac features of a given alive subject. Here we analyse sixty representative 3D cardiac computational models developed and published during the last fifty …

Engineeringmedicine.medical_treatmentFibre orientationReviewCardiac conduction system (CCS)computer.software_genreField (computer science)Cardiac Resynchronization TherapyCardiac modellingImage Processing Computer-AssistedMyocytes CardiacPrecision MedicineBiophysical simulationDecision Making Computer-AssistedBiological dataComputational modelRadiological and Ultrasound TechnologyCardiac electrophysiologyModels CardiovascularBiophysical PhenomenaGeneral MedicineBiomechanical PhenomenaElectrophysiologyRabbitsThree-dimensional (3D) modellingHeart DiseasesPersonalisationPatient-specific modellingCardiologyCardiac resynchronization therapyBiomedical EngineeringMachine learningBiophysical PhenomenaTECNOLOGIA ELECTRONICABiomaterialsDogsHeart Conduction SystemmedicineAnimalsHumansComputer SimulationRadiology Nuclear Medicine and imagingbusiness.industryMyocardiumExperimental dataImage segmentationCardiac image segmentationComputational modellingArtificial intelligencebusinesscomputerBioMedical Engineering OnLine
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Spatial Distribution of Fungal Communities in an Arable Soil.

2015

Fungi are prominent drivers of ecological processes in soils, so that fungal communities across different soil ecosystems have been well investigated. However, for arable soils taxonomically resolved fine-scale studies including vertical itemization of fungal communities are still missing. Here, we combined a cloning/Sanger sequencing approach of the ITS/LSU region as marker for general fungi and of the partial SSU region for arbuscular mycorrhizal fungi (AMF) to characterize the microbiome in different maize soil habitats. Four compartments were analyzed over two annual cycles 2009 and 2010: a) ploughed soil in 0-10 cm, b) rooted soil in 40-50 cm, c) root-free soil in 60-70 cm soil depth a…

Fungal StructureSoil ScienceSequence Databaseslcsh:MedicineCropsMycologyResearch and Analysis MethodsSoilDatabase and Informatics MethodsModel OrganismsPlant and Algal ModelsGrassesMolecular Biology TechniquesSequencing Techniqueslcsh:ScienceMolecular BiologySoil MicrobiologyEcologyMicrobiotaEcology and Environmental Scienceslcsh:ROrganismsFungiCorrectionBiology and Life SciencesAgricultureSoil EcologyPlantsYeastMaizeBiological DatabasesCommunity Ecologylcsh:QSequence AnalysisResearch ArticleCloningCrop ScienceCereal CropsPLoS ONE
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In silico identification and experimental validation of hits active against KPC-2 β-lactamase

2018

Bacterial resistance has become a worldwide concern, particularly after the emergence of resistant strains overproducing carbapenemases. Among these, the KPC-2 carbapenemase represents a significant clinical challenge, being characterized by a broad substrate spectrum that includes aminothiazoleoxime and cephalosporins such as cefotaxime. Moreover, strains harboring KPC-type β-lactamases are often reported as resistant to available β-lactamase inhibitors (clavulanic acid, tazobactam and sulbactam). Therefore, the identification of novel non β-lactam KPC-2 inhibitors is strongly necessary to maintain treatment options. This study explored novel, non-covalent inhibitors active against KPC-2, …

Genetics and Molecular Biology (all)Proteomics0301 basic medicineCefotaximeKlebsiella pneumoniaePathology and Laboratory MedicinePhysical ChemistryBiochemistryKlebsiella PneumoniaeDatabase and Informatics MethodsBiochemistry Genetics and Molecular Biology (all); Agricultural and Biological Sciences (all)AntibioticsKlebsiellaCatalytic DomainMedicine and Health Sciencespolycyclic compoundsDrug InteractionsCrystallographyMultidisciplinarybiologyAntimicrobialsOrganic CompoundsProteomic DatabasesChemistryPhysicsQRDrugsSulbactamCondensed Matter PhysicsBacterial PathogensChemistryBiochemistryMedical MicrobiologyPhysical SciencesCrystal StructureMedicinePathogensbeta-Lactamase InhibitorsResearch Articlemedicine.drugScienceIn silico030106 microbiologySulfonamideResearch and Analysis MethodsMicrobiologyMeropenemTazobactambeta-Lactamases03 medical and health sciencesBacterial ProteinsMicrobial ControlClavulanic acidmedicineSolid State PhysicsMicrobial PathogensPharmacologyLigand efficiencyChemical BondingBacteriaOrganic ChemistryChemical CompoundsOrganismsBiology and Life SciencesHydrogen Bondingbiochemical phenomena metabolism and nutritionbiology.organism_classificationbacterial infections and mycosesAmidesBiological Databases030104 developmental biologyAgricultural and Biological Sciences (all)
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openSNP–A Crowdsourced Web Resource for Personal Genomics

2014

Genome-Wide Association Studies are widely used to correlate phenotypic traits with genetic variants. These studies usually compare the genetic variation between two groups to single out certain Single Nucleotide Polymorphisms (SNPs) that are linked to a phenotypic variation in one of the groups. However, it is necessary to have a large enough sample size to find statistically significant correlations. Direct-To-Consumer (DTC) genetic testing can supply additional data: DTC-companies offer the analysis of a large amount of SNPs for an individual at low cost without the need to consult a physician or geneticist. Over 100,000 people have already been genotyped through Direct-To-Consumer genet…

GenotypeScienceInformation Storage and RetrievalBiological Data ManagementGenome-wide association studyGenomicsBiologySocial and Behavioral SciencesPolymorphism Single NucleotideFormal CommentGenomic MedicineGenome Analysis Toolsddc:570Genetic variationGenome-Wide Association StudiesGenome DatabasesGeneticsmedicineHumansGenetic TestingPrecision MedicineBiologyGenetic Association StudiesInformation ScienceGenetic testingGenetic associationClinical GeneticsGeneticsInternetMultidisciplinarymedicine.diagnostic_testInformation DisseminationQPersonalized MedicineRComputational BiologyHuman GeneticsGenomicsGeneticistData scienceOpen dataPhenotypeGenetics of DiseaseMedicineCrowdsourcingSoftwareResearch ArticleGenome-Wide Association StudyPersonal genomicsPLoS ONE
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NeuPAT: an intranet database supporting translational research in neuroblastic tumors.

2013

Translational research in oncology is directed mainly towards establishing a better risk stratification and searching for appropriate therapeutic targets. This research generates a tremendous amount of complex clinical and biological data needing speedy and effective management. The authors describe the design, implementation and early experiences of a computer-aided system for the integration and management of data for neuroblastoma patients. NeuPAT facilitates clinical and translational research, minimizes the workload in consolidating the information, reduces errors and increases correlation of data through extensive coding. This design can also be applied to other tumor types.

MaleBiological dataIntranetDatabases Factualbusiness.industryHealth InformaticsEffective managementWorkloadTranslational researchBioinformaticsNeuroblastic TumorData scienceComputer Science ApplicationsTranslational Research BiomedicalComputer Communication NetworksNeuroblastomaRisk stratificationMedicineHumansFemalebusinessCoding (social sciences)Computers in biology and medicine
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New insights into the gut microbiome in loggerhead sea turtles Caretta caretta stranded on the Mediterranean coast

2019

Caretta caretta is the most common sea turtle species in the Mediterranean Sea. The species is threatened by anthropomorphic activity that causes thousands of deaths and hundreds of strandings along the Mediterranean coast. Stranded turtles are often cared for in rehabilitation centres until they recover or die. The objective of this study was to characterize the gut microbiome of nine sea turtles stranded along the Sicilian coast of the Mediterranean Sea using high-throughput sequencing analysis targeting V3–V4 regions of the bacterial 16S rRNA gene. Stool samples were collected from eight specimens hosted in the recovery centre after a few days of hospitalization (under 7) and from one ho…

Mediterranean climateDIVERSITYSettore BIO/05 - ZoologiamicrobiomePathology and Laboratory MedicineSettore BIO/19 - Microbiologia GeneraleDatabase and Informatics MethodsMediterranean seacaretta carettaRNA Ribosomal 16SOceansMedicine and Health Sciencesbacteria0303 health sciencesMultidisciplinarybiologyDEBRIS INGESTIONQREukaryotaGenomicsTurtlesBacterial PathogensSea turtleMedical MicrobiologyVertebratesMedicinegutBACTERIAL COMMUNITIESPathogensProteobacteriaSequence AnalysisResearch ArticleBioinformaticsFirmicutesScienceSequence DatabasesFirmicutesmediterraneanZoologyMicrobial GenomicsResearch and Analysis MethodsMicrobiologyFusobacteriaDIET03 medical and health sciencesBodies of waterProteobacterialoggerheadGeneticsMediterranean SeaAnimalsMicrobiomeMicrobial Pathogens030304 developmental biologyBacteroidetes030306 microbiologyGut BacteriaOrganismsBiology and Life SciencesReptilesBacteroidetesbiology.organism_classificationEVOLUTIONMarine and aquatic sciencesGastrointestinal MicrobiomeEarth sciencesBiological DatabasesTestudinesAmniotesThreatened speciesCaretta caretta gut microbiome sea turtles Mediterranean Sea
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