Search results for "screening"

showing 10 items of 1150 documents

Formation and Characterization of Early Bacterial Biofilms on Different Wood Typologies Applied in Dairy Production

2018

ABSTRACT The main hypothesis of this work was that Sicilian forestry resources are suitable for the production of equipment to be used in cheese making and indigenous milk lactic acid bacteria (LAB) are able to develop stable biofilms providing starter and nonstarter cultures necessary for curd fermentation and cheese ripening, respectively. Hence, the present work was carried out with deproteinized whey to evaluate LAB biofilm formation on different woods derived from tree species grown in Sicily. Microbiological and scanning electron microscopy analyses showed minimal differences in microbial levels and compositions for the neoformed biofilms. The specific investigation of Salmonella spp.…

0301 basic medicineSettore AGR/05 - Assestamento Forestale E SelvicolturaLactobacillus fermentumLactococcus030106 microbiologyColony Count MicrobialCheese ripeningApplied Microbiology and BiotechnologyBacterial AdhesionTreesMicrobiology03 medical and health sciencesCheeseLactobacillalesSalmonellaLactobacillusAnimalsFood scienceEcologybiologyLactococcus lactisBiofilmfood and beveragesStreptococcusKEYWORDS biofilm formation lactic acid bacteria technological screening tree species wooden vatsbiology.organism_classificationListeria monocytogenesWoodDairyingMilk030104 developmental biologyEnterococcusBiofilmsFermentationFood MicrobiologyBacteriaSettore AGR/16 - Microbiologia AgrariaFood ScienceBiotechnologyApplied and Environmental Microbiology
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Identification of novel compounds against three targets of SARS CoV-2 coronavirus by combined virtual screening and supervised machine learning.

2021

Coronavirus disease 2019 (COVID-19) is a major threat worldwide due to its fast spreading. As yet, there are no established drugs available. Speeding up drug discovery is urgently required. We applied a workflow of combined in silico methods (virtual drug screening, molecular docking and supervised machine learning algorithms) to identify novel drug candidates against COVID-19. We constructed chemical libraries consisting of FDA-approved drugs for drug repositioning and of natural compound datasets from literature mining and the ZINC database to select compounds interacting with SARS-CoV-2 target proteins (spike protein, nucleocapsid protein, and 2′-o-ribose methyltransferase). Supported by…

0301 basic medicineSimeprevirArtificial intelligencevirusesMERS Middle East Respiratory SyndromeHealth InformaticsBiologyMachine learningcomputer.software_genremedicine.disease_causeAntiviral AgentsArticleWHO World Health OrganizationAUC area under the curve03 medical and health sciences0302 clinical medicinessRNA single-stranded RNA virusmedicineChemotherapyHumansSARS severe acute respiratory syndromeCOVID-19 coronavirus disease 2019CoronavirusNatural productsVirtual screeningACE2 angiotensin converting enzyme 2Drug discoverybusiness.industrySARS-CoV-2COVID-19LBE lowest binding energyFDA Food and Drug AdministrationROC receiver operating characteristicComputer Science ApplicationsHIV human immunodeficiency virusMolecular Docking SimulationDrug repositioning030104 developmental biologyDrug developmentSevere acute respiratory syndrome-related coronavirusParitaprevirInfectious diseasesRespiratory virusArtificial intelligenceSupervised Machine Learningbusinesscomputer030217 neurology & neurosurgeryComputers in biology and medicine
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Reverse screening on indicaxanthin from Opuntia ficus-indica as natural chemoactive and chemopreventive agent

2018

Indicaxanthin is a bioactive and bioavailable betalain pigment extracted from Opuntia ficus indica fruits. Indicaxanthin has pharmacokinetic proprieties, rarely found in other phytochemicals, and it has been demonstrated that it provides a broad-spectrum of pharmaceutical activity, exerting anti-proliferative, anti-inflammatory, and neuromodulator effects. The discovery of the Indicaxanthin physiological targets plays an important role in understanding the biochemical mechanism. In this study, combined reverse pharmacophore mapping, reverse docking, and text-based database search identified Inositol Trisphosphate 3-Kinase (ITP3K-A), Glutamate carboxypeptidase II (GCPII), Leukotriene-A4 hydr…

0301 basic medicineStatistics and ProbabilityMolecular dynamicPyridinesKainate receptorIndicaxanthinPhytochemical01 natural sciencesGeneral Biochemistry Genetics and Molecular BiologyDocking03 medical and health scienceschemistry.chemical_compoundNeoplasmsGlutamate carboxypeptidase IIData MiningHumansEnzyme InhibitorsMM-GBSAPharmacophore modelingBinding SitesGeneral Immunology and MicrobiologyReverse screening010405 organic chemistryAnti-cancerApplied MathematicsPhosphodiesteraseOpuntiaPhosphoserine phosphataseInositol trisphosphateGeneral MedicineAntineoplastic Agents Phytogenic0104 chemical sciencesBetaxanthinsNeoplasm ProteinsNeuromodulatorMolecular Docking SimulationAnti-inflammatory agent030104 developmental biologychemistryBiochemistryDocking (molecular)Modeling and SimulationPharmacophoreGeneral Agricultural and Biological SciencesIndicaxanthin
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Search of Chemical Scaffolds for Novel Antituberculosis Agents

2005

3 A method to identify chemical scaffolds potentially active against Mycobacterium tuberculosis is presented. The molecular features of a set of structurally heterogeneous antituberculosis drugs were coded by means of structural invariants. Three tech- niques were used to obtain equations able to model the antituberculosis activity: linear discriminant analysis, multilinear re- gression, and shrinkage estimation-ridge regression. The model obtained was statistically validated through leave-n-out test, and an external set and was applied to a database for the search of new active agents. The selected compounds were assayed in vitro, and among those identified as active stand reserpine, N,N,N…

0301 basic medicineStereochemistryAntitubercular AgentsQuantitative Structure-Activity RelationshipComputational biology01 natural sciencesBiochemistryAnalytical ChemistryMycobacterium tuberculosis03 medical and health sciencesmedicineComputer SimulationMycobacterium avium complexEthambutolVirtual screeningMolecular StructurebiologyChemistrybiology.organism_classificationLinear discriminant analysis0104 chemical sciences010404 medicinal & biomolecular chemistry030104 developmental biologyModels ChemicalDrug DesignRegression AnalysisMolecular MedicineMultiple linear regression analysisBiotechnologyPentamidinemedicine.drugSLAS Discovery
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Screening of potent phytochemical inhibitors against SARS-CoV-2 protease and its two Asian mutants

2021

Abstract Background COVID-19, declared a pandemic in March 2020 by the World Health Organization is caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). The virus has already killed more than 2.3 million people worldwide. Object The principal intent of this work was to investigate lead compounds by screening natural product library (NPASS) for possible treatment of COVID-19. Methods Pharmacophore features were used to screen a large database to get a small dataset for structure-based virtual screening of natural product compounds. In the structure-based screening, molecular docking was performed to find a potent inhibitor molecule against the main protease (Mpro) of SARS-…

0301 basic medicineStereochemistrymedicine.medical_treatmentPhytochemicalsProtein Data Bank (RCSB PDB)Health Informaticsmedicine.disease_causeMolecular Docking SimulationAntiviral AgentsArticleDocking03 medical and health scienceschemistry.chemical_compound0302 clinical medicinemedicineHumansProtease InhibitorsCoronavirusVirtual screeningNatural productsProteaseChemistrySARS-CoV-2COVID-19Computer Science ApplicationsProteaseCoronavirusMolecular Docking Simulation030104 developmental biologyDocking (molecular)PharmacophoreLead compound030217 neurology & neurosurgeryMproPeptide HydrolasesComputers in Biology and Medicine
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Consensus molecular subtypes of colorectal cancer are recapitulated in in vitro and in vivo models

2018

Colorectal cancer (CRC) is a highly heterogeneous disease both from a molecular and clinical perspective. Several distinct molecular entities, such as microsatellite instability (MSI), have been defined that make up biologically distinct subgroups with their own clinical course. Recent data indicated that CRC can be best segregated into four groups called consensus molecular subtypes (CMS1-4), each of which has a unique biology and gene expression pattern. In order to develop improved, subtype-specific therapies and to gain insight into the molecular wiring and origin of these subtypes, reliable models are needed. This study was designed to determine the heterogeneity and identify the prese…

0301 basic medicineStromal cellColorectal cancerCellMice NudeAntineoplastic AgentsApoptosisComputational biologyBiologyModels BiologicalArticle03 medical and health sciencesMiceStructure-Activity Relationship0302 clinical medicineIn vivomedicineBiomarkers TumorTumor Cells CulturedAnimalsHumansMolecular BiologyCell ProliferationRegulation of gene expressionDose-Response Relationship DrugGene Expression ProfilingMesenchymal stem cellMicrosatellite instabilityCell DifferentiationNeoplasms ExperimentalCell Biologymedicine.diseaseGene expression profilingGene Expression Regulation NeoplasticOxaliplatin030104 developmental biologymedicine.anatomical_structure030220 oncology & carcinogenesisFluorouracilDrug Screening Assays AntitumorColorectal NeoplasmsCell death and differentiation
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Human Upcyte Hepatocytes: Characterization of the Hepatic Phenotype and Evaluation for Acute and Long-Term Hepatotoxicity Routine Testing

2016

The capacity of human hepatic cell-based models to predict hepatotoxicity depends on the functional performance of cells. The major limitations of human hepatocytes include the scarce availability and rapid loss of the hepatic phenotype. Hepatoma cells are readily available and easy to handle, but are metabolically poor compared with hepatocytes. Recently developed human upcyte hepatocytes offer the advantage of combining many features of primary hepatocytes with the unlimited availability of hepatoma cells. We analyzed the phenotype of upcyte hepatocytes comparatively with HepG2 cells and adult primary human hepatocytes to characterize their functional features as a differentiated hepatic …

0301 basic medicineTime FactorsPrimary Cell CultureTransfectionToxicologyRisk AssessmentTranscriptome03 medical and health sciences0302 clinical medicineMetabolomicsCytochrome P-450 Enzyme SystemIn vivoToxicity TestsmedicineHumansChildGlycogen synthaseDose-Response Relationship DrugbiologyInfant NewbornCytochrome P450Hep G2 CellsMiddle Agedmedicine.diseasePhenotypeHigh-Throughput Screening AssaysIsoenzymesOxidative StressPhenotype030104 developmental biologyGene Expression RegulationLiver030220 oncology & carcinogenesisHepatocytesbiology.proteinHepatic stellate cellCancer researchChemical and Drug Induced Liver InjurySteatosisTranscriptomeToxicological Sciences
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2020

Interactome maps are valuable resources to elucidate protein function and disease mechanisms. Here, we report on an interactome map that focuses on neurodegenerative disease (ND), connects ∼5,000 human proteins via ∼30,000 candidate interactions and is generated by systematic yeast two-hybrid interaction screening of ∼500 ND-related proteins and integration of literature interactions. This network reveals interconnectivity across diseases and links many known ND-causing proteins, such as α-synuclein, TDP-43, and ATXN1, to a host of proteins previously unrelated to NDs. It facilitates the identification of interacting proteins that significantly influence mutant TDP-43 and HTT toxicity in tr…

0301 basic medicineTwo-hybrid screeningTransgeneMutantDiseaseComputational biologyProtein aggregationBiologyInteractomeGeneral Biochemistry Genetics and Molecular BiologyProtein–protein interaction03 medical and health sciences030104 developmental biology0302 clinical medicineIdentification (biology)030217 neurology & neurosurgeryCell Reports
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A widely used sampling device in colorectal cancer screening programmes allows for large-scale microbiome studies.

2018

We read with interest the article by Passamonti et al ,1 reporting the performance of two different faecal immunochemical tests (FITs) highlighting the importance of standardisation and validation of screening methodologies. Conventionally, laboratory-based FIT is the preferred approach in testing for occult blood in faeces, which includes colorectal cancer screening programmes.2–4 The potential of preserving stable faecal samples in a widely used FIT buffer for microbiome research would enable prospective microbiome studies in generally healthy subjects undergoing colorectal cancer screening. For this purpose, we evaluated faecal sample stability in the commonly used OC-Sensor (Eiken Chemi…

0301 basic medicineVeterinary medicine2312BiologySampling device03 medical and health sciencesHemoglobins0302 clinical medicineHumansMass Screening1506Microbiomecolonic microfloraEarly Detection of CancerMicrobiotaGastroenterologyHealthy subjectsIllumina miseqIon semiconductor sequencingPostScriptSample stabilityGastrointestinal Microbiome030104 developmental biologyColorectal cancer screeningMetagenomicsOccult Bloodepidemiology030211 gastroenterology & hepatologyGuaiacColorectal NeoplasmsGut
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Repurposing old drugs to fight multidrug resistant cancers.

2020

Overcoming multidrug resistance represents a major challenge for cancer treatment. In the search for new chemotherapeutics to treat malignant diseases, drug repurposing gained a tremendous interest during the past years. Repositioning candidates have often emerged through several stages of clinical drug development, and may even be marketed, thus attracting the attention and interest of pharmaceutical companies as well as regulatory agencies. Typically, drug repositioning has been serendipitous, using undesired side effects of small molecule drugs to exploit new disease indications. As bioinformatics gain increasing popularity as an integral component of drug discovery, more rational approa…

0301 basic medicineVirtual screeningCancer ResearchDrug repurposingSettore BIO/11 - Biologia MolecolareAntineoplastic AgentsDrug resistanceBioinformatics03 medical and health sciencesClinical cancer trials; Drug repurposing; Multidrug resistant cancer; Pharmacophore modelling; Virtual screening0302 clinical medicineNeoplasmsDrug DiscoveryMedicineHumansPharmacology (medical)Computer SimulationRepurposingPharmacologyVirtual screeningDrug discoverybusiness.industryDrug RepositioningComputational BiologyDrug Resistance Multiple3. Good healthMultiple drug resistanceDrug repositioning030104 developmental biologyInfectious DiseasesOncologyDrug developmentDrug Resistance Neoplasm030220 oncology & carcinogenesisMultidrug resistant cancerPharmacophore modellingPharmacophorebusinessClinical cancer trialsDrug resistance updates : reviews and commentaries in antimicrobial and anticancer chemotherapy
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