Search results for "computational"

showing 10 items of 5884 documents

FragClust and TestClust, two informatics tools for chemical structure hierarchical clustering analysis applied to lipidomics. The example of Alzheime…

2016

Lipidomic analysis is able to measure simultaneously thousands of compounds belonging to a few lipid classes. In each lipid class, compounds differ only by the acyl radical, ranging between C10:0 (capric acid) and C24:0 (lignoceric acid). Although some metabolites have a peculiar pathological role, more often compounds belonging to a single lipid class exert the same biological effect. Here, we present a lipidomics workflow that extracts the tandem mass spectrometry data from individual files and uses them to group compounds into structurally homogeneous clusters by chemical structure hierarchical clustering analysis (CHCA). The case-to-control peak area ratios of the metabolites are then a…

0301 basic medicineHigh-resolution mass spectrometrySettore MED/09 - Medicina InternaChemical structureComputational biologyPlasma biomarkers01 natural sciencesTriglycerideBiochemistryHomogeneous clustersAnalytical ChemistryCeramide03 medical and health sciencesAlzheimer DiseaseTandem Mass SpectrometryHealth informatics toolsLipidomicsHumansStatistical analysisData miningChromatography High Pressure LiquidAgedAged 80 and overMolecular StructureChemistry010401 analytical chemistryLipids0104 chemical sciencesHierarchical clusteringPhospholipid030104 developmental biologyWorkflowBiochemistryCase-Control StudiesSettore MED/26 - Neurologia
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HIPPIE v2.0: Enhancing meaningfulness and reliability of protein-protein interaction networks

2016

The increasing number of experimentally detected interactions between proteins makes it difficult for researchers to extract the interactions relevant for specific biological processes or diseases. This makes it necessary to accompany the large-scale detection of protein-protein interactions (PPIs) with strategies and tools to generate meaningful PPI subnetworks. To this end, we generated the Human Integrated Protein-Protein Interaction rEference or HIPPIE (http://cbdm.uni-mainz.de/hippie/). HIPPIE is a one-stop resource for the generation and interpretation of PPI networks relevant to a specific research question. We provide means to generate highly reliable, context-specific PPI networks …

0301 basic medicineHippieReliability (computer networking)BiologyWeb BrowserBioinformaticsProtein protein interaction networkComputational biology03 medical and health sciences0302 clinical medicineResource (project management)GeneticsHumansDatabase IssueGraph algorithmsProtein Interaction MapsDatabases ProteinResearch questionGraphical user interfacebusiness.industryReproducibility of ResultsData science030104 developmental biologyComputingMethodologies_PATTERNRECOGNITIONProtein interaction mappingbusiness030217 neurology & neurosurgeryProtein Interaction MapSoftware
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Histones, Their Variants and Post-translational Modifications in Zebrafish Development.

2020

Complex multi-cellular organisms are shaped starting from a single-celled zygote, owing to elaborate developmental programs. These programs involve several layers of regulation to orchestrate the establishment of progressively diverging cell type-specific gene expression patterns. In this scenario, epigenetic modifications of chromatin are central in influencing spatiotemporal patterns of gene transcription. In fact, it is generally recognized that epigenetic changes of chromatin states impact on the accessibility of genomic DNA to regulatory proteins. Several lines of evidence highlighted that zebrafish is an excellent vertebrate model for research purposes in the field of developmental ep…

0301 basic medicineHistone-modifying enzymeshistone posttranslational modificationsMini ReviewMorphogenesisSettore BIO/11 - Biologia Molecolarematernal-to-zygotic transitionComparative biologyComputational biologyhistone03 medical and health sciencesCell and Developmental Biology0302 clinical medicineEpigeneticshistone variantsZebrafishlcsh:QH301-705.5developmentzygotic genome activationbiologyepigeneticsCell Biologybiology.organism_classificationzebrafishChromatinhistone histone posttranslational modifications histone variants epigenetics development maternal-to-zygotic transition zygotic genome activation zebrafish030104 developmental biologyHistonelcsh:Biology (General)030220 oncology & carcinogenesisbiology.proteinMaternal to zygotic transitionDevelopmental BiologyFrontiers in cell and developmental biology
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Overview of the interaction of helminth extracellular vesicles with the host and their potential functions and biological applications.

2021

Helminth Extracellular Vesicles (EVs) have emerged as important mediators in host-parasite communications, participating in the parasite survival and its pathogenic effects. In the last decade, a growing amount of information reporting the isolation and characterization of EVs from different helminth species has appeared, but unfortunately, few reports have focused on functional studies of helminth EVs in different cell lines, organoids or animal models. We here review these in vitro and in vivo studies, which clearly demonstrate that helminths secrete EVs, which affect their environment. Helminth EVs are actively internalized by different cell lines, modulating cellular functions important…

0301 basic medicineHost (biology)ImmunologyCellular functionsHelminthiasisComputational biologyBiologyExtracellular vesiclesHost-Parasite Interactions03 medical and health sciencesExtracellular Vesicles030104 developmental biology0302 clinical medicineImmune systemHelminthsparasitic diseasesHelminthsAnimalsHumansSecretionFunctional studiesInformation reportingMolecular Biology030215 immunologyMolecular immunology
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Identification of factors involved in dimorphism and pathogenicity of Zymoseptoria tritici

2017

A forward genetics approach was applied in order to investigate the molecular basis of morphological transition in the wheat pathogenic fungus Zymoseptoria tritici. Z. tritici is a dimorphic plant pathogen displaying environmentally regulated morphogenetic transition between yeast-like and hyphal growth. Considering the infection mode of Z. tritici, the switching to hyphal growth is essential for pathogenicity allowing the fungus the host invasion through natural openings like stomata. We exploited a previously developed Agrobacterium tumefaciens-mediated transformation (ATMT) to generate a mutant library by insertional mutagenesis including more than 10,000 random mutants. To identify gene…

0301 basic medicineHyphal growthMutantlcsh:MedicinePlant SciencePathogenesisPathology and Laboratory MedicineDatabase and Informatics MethodsMedicine and Health Scienceslcsh:ScienceGeneticsMultidisciplinaryVirulenceOrganic CompoundsPlant Fungal PathogensFungal geneticsGenomicsGenomic DatabasesMutant StrainsChemistryPhysical SciencesResearch ArticleGene predictionGenes Fungal030106 microbiologyPlant PathogensMycologyBiologyResearch and Analysis MethodsFungal ProteinsInsertional mutagenesis03 medical and health sciencesAscomycotaGeneticsFungal GeneticsGene PredictionGeneOrganic Chemistrylcsh:ROrganismsFungiChemical CompoundsBiology and Life SciencesComputational BiologyPlant PathologyGenome AnalysisForward geneticsReverse geneticsBiological DatabasesPurinesMutationlcsh:QPLOS ONE
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Coupling News Sentiment with Web Browsing Data Improves Prediction of Intra-Day Price Dynamics

2015

The new digital revolution of big data is deeply changing our capability of understanding society and forecasting the outcome of many social and economic systems. Unfortunately, information can be very heterogeneous in the importance, relevance, and surprise it conveys, affecting severely the predictive power of semantic and statistical methods. Here we show that the aggregation of web users' behavior can be elicited to overcome this problem in a hard to predict complex system, namely the financial market. Specifically, our in-sample analysis shows that the combined use of sentiment analysis of news and browsing activity of users of Yahoo! Finance greatly helps forecasting intra-day and dai…

0301 basic medicineINFORMATIONEconomicsComputer scienceBig datalcsh:MedicineSocial SciencesQuantitative Finance - Computational Financesocial and economic systemsMathematical and Statistical TechniquesSociologybig dataEconometrics050207 economicsComputer NetworksCapital Marketslcsh:ScienceFinancial Marketsmedia_common050208 financeMultidisciplinary05 social sciencesCommerceSocial CommunicationSettore FIS/02 - Fisica Teorica Modelli e Metodi MatematiciSurpriseModels EconomicSocial NetworksPhysical SciencesSocial SystemsEngineering and TechnologyComputational sociologyBEHAVIORStatistics (Mathematics)Network AnalysisResearch ArticleComputer and Information SciencesExploitmedia_common.quotation_subjectTwitterComputational Finance (q-fin.CP)Research and Analysis MethodsFOS: Economics and business03 medical and health sciencesSEARCH0502 economics and businessHumansRelevance (information retrieval)Web navigationInvestmentsStatistical MethodsInternetStatistical Finance (q-fin.ST)STOCK-MARKETbusiness.industrylcsh:RSentiment analysisFinancial marketATTENTIONQuantitative Finance - Statistical FinanceCommunicationsNoise ReductionFinancial Firms030104 developmental biologySignal ProcessingPredictive powerlcsh:QStock marketbusinessSocial MediaFinanceMathematicsForecastingPLOS ONE
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FT-IR spectroscopy : A powerful tool for studying the inter- and intraspecific biodiversity of cultivable non-Saccharomyces yeasts isolated from grap…

2016

International audience; The efficiency of the FT-IR technique for studying the inter- and intra biodiversity of cultivable non-Saccharomyces yeasts (NS) present in different must samples was examined. In first, the capacity of the technique FF-IR to study the global diversity of a given sample was compared to the pyrosequencing method, used as a reference technique. Seven different genera (Aureobasidium, Candida, Cryptococcus, Hanseniaspora, Issatchenkia, Metschnikowia and Pichia) were identified by FT-IR and also by pyrosequencing. Thirty-eight other genera were identified by pyrosequencing, but together they represented less than 6% of the average total population of 6 musts. Among the sp…

0301 basic medicineIdentification[ SDV.AEN ] Life Sciences [q-bio]/Food and NutritionBiodiversityWineHanseniasporaSaccharomycesMicrobial ecology[ SDV.MP ] Life Sciences [q-bio]/Microbiology and ParasitologyYeastsSpectroscopy Fourier Transform InfraredVitisDNA FungalMycological Typing TechniquesPhylogenyCandidaIntragenomic variationbiologySp-nov.Pyrolysis mass-spectrometryPyrosequencingBiodiversityCandida zemplininaYeast in winemaking[SDV.MP]Life Sciences [q-bio]/Microbiology and ParasitologyFT-IR spectroscopyMetschnikowiaAlcoholic fermentationMicrobiology (medical)food.ingredientWine yeast030106 microbiologyMicrobiologyIntraspecific competitionCandida-zemplininaSaccharomyces03 medical and health sciencesfoodBotanyRNA Ribosomal 18SMolecular BiologyBase SequenceComputational BiologySequence Analysis DNAbiology.organism_classificationGreen lacewingsStrain typingPyrosequencingTransform-infrared-spectroscopy[SDV.AEN]Life Sciences [q-bio]/Food and NutritionBotrytis-affected wine
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Engineered exosomes: A new promise for the management of musculoskeletal diseases.

2018

Abstract Background Exosomes are nanovesicles actively secreted by potentially all cell types, including tumour cells, with the primary role of extracellular systemic communication mediators, both at autocrine and paracrine levels, at short and long distances. Recently, different studies have used exosomes as a delivery system for a plethora of different molecules, such as drugs, microRNAs and proteins. This has been made possible thanks to the simplicity in exosomes engineering, their great stability and versatility for applications in oncology as well as in regenerative medicine. Scope of review The aim of this review is to provide information on the state-of-the-art and possible applicat…

0301 basic medicineImmune system regulationDrug delivery; Engineered exosomes; Immune system regulation; Musculoskeletal diseases; Oncology; Regenerative medicine; Biophysics; Biochemistry; Molecular BiologyBiophysicsComputational biologyEngineered exosomeExosomesRegenerative MedicineBiochemistryRegenerative medicine03 medical and health sciencesDrug Delivery SystemsMusculoskeletal diseaseMedicineAnimalsHumansMusculoskeletal DiseasesMolecular Biologybusiness.industryMicrovesicles030104 developmental biologyOncologyBiophysicDrug deliveryDrug deliveryDelivery systembusinessBiochimica et biophysica acta. General subjects
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Identification of biological targets through the correlation between cell line chemosensitivity and protein expression pattern.

2021

Matching biological data sequences is one of the most interesting ways to discover new bioactive compounds. In particular, matching cell chemosensitivity with a protein expression profile can be a useful approach to predict the activity of compounds against definite biological targets. In this review, we discuss this correlation. First, we analyze case studies in which some known drugs, acting on known targets, show a good correlation between their antiproliferative activities and protein expression when a large panel of tumor cells is considered. Then, we highlight how the application of in silico methods based on the correlation between cell line chemosensitivity and gene/protein expressi…

0301 basic medicineIn silicoCellAntineoplastic AgentsComputational biologyBiologyCorrelationNCI-60 cell lines panel03 medical and health sciences0302 clinical medicineCell Line TumorNeoplasmsDrug DiscoverymedicineHumansComputer SimulationMolecular Targeted TherapyChemosensitivityGeneBiological target; Chemosensitivity; NCI-60 cell lines panel; Protein expression patternPharmacologyBiological dataBiological activitySettore CHIM/08 - Chimica FarmaceuticaBiological target Chemosensitivity NCI-60 cell lines panel Protein expression patternGene Expression Regulation Neoplastic030104 developmental biologymedicine.anatomical_structureCell cultureBiological targetBiological target030220 oncology & carcinogenesisProtein expression patternDrug discovery today
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In silico prediction of Leishmania major -specific CD8+ epitopes

2017

Infections with Leishmania (L.) major induce protective IFN-γ-dependent Th1/Tc1 immunity in C57BL/6 mice as well as in immunocompetent humans. Even though antigen-specific immunity provides lifelong immunity against reinfection, a vaccine against this pathogen does not yet exist. Here, we compared the results obtained from in silico predictions of murine CD8-specific L. major peptides using the algorithm SYFPEITHI with the number and predicted affinity of known proteins/peptides. Our results indicate that the majority of "immunodominant" epitopes of L. major have not been identified so far; thus, computer-based prediction algorithms may aid the development of an effective vaccine.

0301 basic medicineIn silicoDermatologyComputational biologyBiologybiology.organism_classificationLeishmaniaBiochemistryEpitope03 medical and health sciencesPrediction algorithms030104 developmental biology0302 clinical medicineImmunityLeishmania majorMolecular BiologyPathogenCD8030215 immunologyExperimental Dermatology
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