Search results for "SIM"

showing 10 items of 10139 documents

Patrik Svensson: Ankeriaan testamentti

2020

Kirja-arvostelu teoksesta Patrik Svensson: Ankeriaan testamentti, pojasta, isästä ja maailman arvoituksellisimmasta kalasta suom. Maija Kauhanen,Tammi, (2020). nonPeerReviewed

Ankeriaan testamentti pojasta isästä ja maailman arvoituksellisimmasta kalastaankeriasesseetkirja-arvostelutSvensson Patrik
researchProduct

Structural Analogies in Annelid Erythrocruorins

1986

Erythrocruorins from many annelid species have been studied by many authors. In spite of the great similarity of most physicochemical properties and of the electron-micrographs of these proteins, some debated experimental data divide the scientific community, e.g. the Mr of the whole molecule (ranging from 2,500 to 4,1000 kDa) and, in consequence, the Mr of the 1/12 molecules, the Mr and number of the smallest covalently bound subunits and the Mr and number of the globin-like monomers (1).

AnnelidbiologySimilarity (network science)StereochemistryChemistryErythrocruorinsbiology.organism_classification
researchProduct

QSAR Modeling ANTI-HIV-1 Activities by Optimization of Correlation Weights of Local Graph Invariants

2004

Results of using descriptors calculated with the correlation weights (CWs) of local graph invariants for modeling of anti-HIV-1 potencies of two groups of reverse transcriptase (RT) inhibitors are reported. Presence of different chemical elements in molecular structure of the inhibitors and the presence of Morgan extended connectivity values of zeroth-, first- and second order have been examined as local graph invariants in the labeled hydrogen-filled graphs. By Monte Carlo method optimization procedure, values of the CWs which produce as large values as possible of correlation coefficient between the numerical data on the anti-HIV-1 potencies and values of the descriptors on the training s…

Anti hiv 1Quantitative structure–activity relationshipCorrelation coefficientGeneral Chemical EngineeringMonte Carlo methodGeneral ChemistryCondensed Matter PhysicsGraphCombinatoricsCorrelationZeroth law of thermodynamicsModeling and SimulationOrder (group theory)General Materials ScienceInformation SystemsMathematicsMolecular Simulation
researchProduct

Anti-inflammatory and tight junction protective activity of the herbal preparation STW 5-II on mouse intestinal organoids

2021

Abstract Background Irritable bowel syndrome (IBS) is a functional bowel disorder, in which recurrent abdominal pain is associated with defecation or a change in bowel habits. STW 5-II is a combination of six medicinal herbs with a clinically proven efficacy in managing IBS. Aim This study aims to establish an in vitro IBS model using mouse intestinal organoids and to explore the anti-inflammatory and tight junction protective activities of the multi-herbal preparation STW 5-II. Methods Intestinal organoids were cultured in 1:1 Matrigel™ and medium domes. Inflammation and tight junction disruption were induced by a cocktail of cytokines (TNFα, IFNγ, IL-1β, IL-6) and bacterial proteins (LPS,…

Anti-Inflammatory AgentsPharmaceutical ScienceInflammationPharmacologyTight JunctionsProinflammatory cytokineIrritable Bowel SyndromeMice03 medical and health sciencesOrgan Culture Techniques0302 clinical medicineWestern blotDownregulation and upregulationDrug DiscoverymedicineOrganoidAnimalsComputer SimulationIntestinal MucosaIrritable bowel syndrome030304 developmental biologyPharmacology0303 health sciencesTight junctionmedicine.diagnostic_testPlant Extractsbusiness.industryNF-kappa Bmedicine.diseaseIntestinesOrganoidsDisease Models AnimalSTAT1 Transcription FactorGene Expression RegulationComplementary and alternative medicine030220 oncology & carcinogenesisZonula Occludens-1 ProteinMolecular MedicineTumor necrosis factor alphaInflammation Mediatorsmedicine.symptombusinessPhytomedicine
researchProduct

A membrane computing simulator of trans-hierarchical antibiotic resistance evolution dynamics in nested ecological compartments (ARES)

2015

In this article, we introduce ARES (Antibiotic Resistance Evolution Simulator) a software device that simulates P-system model scenarios with five types of nested computing membranes oriented to emulate a hierarchy of eco-biological compartments, i.e. a) peripheral ecosystem; b) local environment; c) reservoir of supplies; d) animal host; and e) host's associated bacterial organisms (microbiome). Computational objects emulating molecular entities such as plasmids, antibiotic resistance genes, antimicrobials, and/or other substances can be introduced into this framework and may interact and evolve together with the membranes, according to a set of pre-established rules and specifications. AR…

Antibiotic resistanceImmunologyBiologyGeneral Biochemistry Genetics and Molecular Biology03 medical and health sciencesAntibiotic resistanceDrug Resistance BacterialMembrane computingComputer SimulationMembrane computingEcology Evolution Behavior and SystematicsSimulation030304 developmental biology0303 health sciencesModels GeneticAgricultural and Biological Sciences(all)030306 microbiologyEcologyNatural computingBiochemistry Genetics and Molecular Biology(all)ResearchApplied MathematicsAntibiotic exposureReciprocity (evolution)Biological EvolutionAnti-Bacterial AgentsP-systemModeling and SimulationORGANIZACION DE EMPRESASLocal environmentEvolutionary ecologyGeneral Agricultural and Biological SciencesEssential nestingLENGUAJES Y SISTEMAS INFORMATICOSAntibiotic resistance genes
researchProduct

A Novel Series of Acylhydrazones as Potential Anti-Candida Agents: Design, Synthesis, Biological Evaluation and In Silico Studies

2019

In the context of an increased incidence of invasive fungal diseases, there is an imperative need of new antifungal drugs with improved activity and safety profiles. A novel series of acylhydrazones bearing a 1,4-phenylene-bisthiazole scaffold was designed based on an analysis of structures known to possess anti-Candida activity obtained from a literature review. Nine final compounds were synthesized and evaluated in vitro for their inhibitory activity against various strains of Candida spp. The anti-Candida activity assay revealed that some of the new compounds are as active as fluconazole against most of the tested strains. A molecular docking study was conducted in order to evaluate the …

Antifungal AgentsMolecular modelIn silicoPharmaceutical ScienceContext (language use)anti-CandidaMicrobial Sensitivity Tests01 natural sciencesArticleAnalytical Chemistrylcsh:QD241-44103 medical and health scienceschemistry.chemical_compoundStructure-Activity Relationshiplcsh:Organic chemistryDrug DiscoverymedicinePhysical and Theoretical ChemistryFluconazole030304 developmental biologyCandida0303 health sciencesMolecular Structure010405 organic chemistrymolecular modelingLanosterolOrganic Chemistryanti-<i>Candida</i>HydrazonesBiological activityIn vitro0104 chemical sciencesMolecular Docking Simulationlanosterol 14α-demethylaseADMETchemistryBiochemistryDesign synthesisChemistry (miscellaneous)Drug DesignMolecular MedicinethiazoleFluconazoleacylhydrazonemedicine.drugProtein BindingMolecules
researchProduct

Synthesis and biological evaluation of pyridinebetaine A and B

2009

The synthesis of the marine natural products pyridinebetaine A and B is reported. The biological evaluation of pyridinebetaine A and B and several analogues as cytotoxic, antifungal and antiviral agents is also described. Unfortunately, none of the compounds tested showed relevant antifungal or cytotoxic activity. Only pyridinebetaine B reduced the Herpes simplex virus type 1 virus replication, though only weakly.

AntifungalAntifungal Agentsmedicine.drug_classHerpesvirus 1 HumanPlant ScienceBiologyVirus Replicationmedicine.disease_causeAntiviral AgentsBiochemistryAnalytical ChemistryMicrobiologyStructure-Activity RelationshipAlkaloidsChlorocebus aethiopsmedicineAnimalsHumansCytotoxic T cellVero CellsBiological evaluationMolecular StructureOrganic ChemistryFungiVirologyBetaineHerpes simplex virusViral replicationHeLa CellsNatural Product Research
researchProduct

QuBiLs-MAS method in early drug discovery and rational drug identification of antifungal agents

2015

The QuBiLs-MAS approach is used for the in silico modelling of the antifungal activity of organic molecules. To this effect, non-stochastic (NS) and simple-stochastic (SS) atom-based quadratic indices are used to codify chemical information for a comprehensive dataset of 2478 compounds having a great structural variability, with 1087 of them being antifungal agents, covering the broadest antifungal mechanisms of action known so far. The NS and SS index-based antifungal activity classification models obtained using linear discriminant analysis (LDA) yield correct classification percentages of 90.73% and 92.47%, respectively, for the training set. Additionally, these models are able to correc…

AntifungalQuantitative structure–activity relationshipAntifungal AgentsLinear discriminant analysismedicine.drug_classIn silicoAtom-based quadratic indicesQSAR modelQuantitative Structure-Activity RelationshipBioengineeringDrug developmentComputational biologyQuantitative structure activity relationVrtual screening antifungal agentDrug DiscoverymedicineComputer SimulationDrug identificationChemistryDrug discoveryLinear modelDiscriminant AnalysisGeneral MedicineLinear discriminant analysisCombinatorial chemistryChemistryTest setLinear ModelsMolecular MedicineQuBiLs-MAS softwareStatistical modelAntifungal agent
researchProduct

The influence of Sb doping on the local structure and disorder in thermoelectric ZnO:Sb thin films

2023

The experiment at HASYLAB/DESY was performed within the project I-20200161 EC. The research leading to this result has been supported by the project CALIPSOplus under the Grant Agreement 730872 from the EU Framework Programme for Research and Innovation HORIZON 2020. Institute of Solid State Physics, University of Latvia as the Center of Excellence has received funding from the European Union's Horizon 2020 Framework Programme H2020-WIDESPREAD-01–2016-2017-TeamingPhase2 under grant agreement No. 739508, project CAMART2. This work was carried out in part through the use of the INL Advanced Electron Microscopy, Imaging and Spectroscopy Facility. This work (proposal ID 2018–020-022469) was car…

AntimonyHistoryTechnologyPolymers and PlasticsThin filmsThermoelectricMechanical EngineeringMetals and AlloysSputtering:NATURAL SCIENCES::Physics [Research Subject Categories]540X-ray absorptionIndustrial and Manufacturing EngineeringMechanics of Materials2021-025-030112ddc:540Materials ChemistryBusiness and International ManagementToF-SIMSDoped zinc oxideddc:600
researchProduct

Recent advances in computational design of potent aromatase inhibitors: open-eye on endocrine-resistant breast cancers.

2019

Introduction: The vast majority of breast cancers (BC) are estrogen receptor positive (ER+). The most effective treatments to fight this BC type rely on estrogen deprivation therapy, by inhibiting the aromatase enzyme, which performs estrogen biosynthesis, or on blocking the estrogens signaling path via modulating/degrading the estrogen's specific nuclear receptor (estrogen receptor-?, ER?). While being effective at early disease stage, patients treated with aromatase inhibitors (AIs) may acquire resistance and often relapse after prolonged therapies. Areas covered: In this compendium, after an overview of the historical development of the AIs currently in clinical use, and of the computati…

Antineoplastic Agents Hormonalmedicine.drug_classCYP450sEstrogen receptorallostery; aromatase inhibitors; Breast cancer; CYP450s; ligand-based and structure-based drug design; molecular dynamics; virtual screeningBreast NeoplasmsMolecular Dynamics SimulationBioinformatics03 medical and health sciencesBreast cancer0302 clinical medicineBreast cancerDrug DiscoverymedicineEndocrine systemHumansAromataseSurvival rate030304 developmental biologyCause of deathNeoplasm Staging0303 health sciencesallosterybiologybusiness.industryAromatase Inhibitorsvirtual screeningmedicine.diseaseligand-based and structure-based drug designmolecular dynamicsSurvival RateNuclear receptorEstrogenDrug Resistance Neoplasm030220 oncology & carcinogenesisDrug Designbiology.proteinFemalebusinessExpert opinion on drug discovery
researchProduct