Search results for "cki"

showing 10 items of 2390 documents

Recent advances on CDK inhibitors: An insight by means of in silico methods

2017

The cyclin dependent kinases (CDKs) are a small family of serine/threonine protein kinases that can act as a potential therapeutic target in several proliferative diseases, including cancer. This short review is a survey on the more recent research progresses in the field achieved by using in silico methods. All the "armamentarium" available to the medicinal chemists (docking protocols and molecular dynamics, fragment-based, de novo design, virtual screening, and QSAR) has been employed to the discovery of new, potent, and selective inhibitors of cyclin dependent kinases. The results cited herein can be useful to understand the nature of the inhibitor-target interactions, and furnish an ins…

0301 basic medicineQuantitative structure–activity relationshipMolecular dynamicIn silicoCDKQuantitative Structure-Activity RelationshipAntineoplastic AgentsComputational biologyMolecular Dynamics SimulationBioinformatics01 natural sciencesSerine03 medical and health sciencesCyclin-dependent kinaseNeoplasmsDrug DiscoveryAnimalsHumansProtein Kinase InhibitorsPharmacologyVirtual screeningHVTSbiologyChemistryKinaseQSARDrug Discovery3003 Pharmaceutical ScienceOrganic ChemistryGeneral MedicineCyclin-Dependent Kinases0104 chemical sciencesMolecular Docking Simulation010404 medicinal & biomolecular chemistry030104 developmental biologyDocking (molecular)Drug Designbiology.proteinComputer-Aided DesignIn silico methodMolecular modelling
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Analgesic Activity, Chemical Profiling and Computational Study on Chrysopogon aciculatus

2018

Present study was undertaken to evaluate the analgesic activity of the ethanol extract of Chrysopogon aciculatus. In addition to bioassays in mice, chemical profiling was done by LC-MS and GC-MS to identify phytochemicals, which were further docked on the catalytic site of COX-2 enzymes with a view to suggest the possible role of such phytoconstituents in the observed analgesic activity. Analgesic activity of C. aciculatus was evaluated by acetic acid induced writhing reflex method and hot plate technique. Phytochemical profiling was conducted using liquid chromatography mass spectrometry (LC-MS) and gas chromatography mass spectrometry (GC-MS). In docking studies, homology model of human C…

0301 basic medicineRMliquid chromatography mass spectrometrygas chromatography mass spectrometryChrysopogon aciculatushot plate test03 medical and health sciencesAcetic acidchemistry.chemical_compound0302 clinical medicineLiquid chromatography–mass spectrometryPharmacology (medical)Hot plate testPharmacologyChromatographybiologyChrysopogon aciculatuspoaceaelcsh:RM1-950analgesicbiology.organism_classification030104 developmental biologylcsh:Therapeutics. PharmacologychemistryPhytochemicalDocking (molecular)030220 oncology & carcinogenesisTricinGas chromatography–mass spectrometryFrontiers in Pharmacology
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New Insights into the Genome Organization of Yeast Killer Viruses Based on “Atypical” Killer Strains Characterized by High-Throughput Sequencing

2017

Viral M-dsRNAs encoding yeast killer toxins share similar genomic organization, but no overall sequence identity. The dsRNA full-length sequences of several known M-viruses either have yet to be completed, or they were shorter than estimated by agarose gel electrophoresis. High-throughput sequencing was used to analyze some M-dsRNAs previously sequenced by traditional techniques, and new dsRNAs from atypical killer strains of Saccharomyces cerevisiae and Torulaspora delbrueckii. All dsRNAs expected to be present in a given yeast strain were reliably detected and sequenced, and the previously-known sequences were confirmed. The few discrepancies between viral variants were mostly located aro…

0301 basic medicineRNA recombinationGenotypeHealth Toxicology and Mutagenesis030106 microbiologySaccharomyces cerevisiaelcsh:MedicineTorulaspora delbrueckiidsRNAGenome ViralSaccharomyces cerevisiaeToxicologyGenomeDNA sequencingArticle<i>Saccharomyces cerevisiae</i>; <i>Torulaspora delbrueckii</i>; killer; virus genome; dsRNA; sequencing; HTS; RNA recombination; phylogenetic originphylogenetic origin03 medical and health sciencesTorulaspora delbrueckiiGenomic organizationGeneticsbiologyPhylogenetic treelcsh:RHigh-Throughput Nucleotide SequencingTorulasporasequencingbiology.organism_classificationYeastTorulasporaKiller Factors Yeast030104 developmental biologyPhenotypevirus genomeVirusesRNA ViralHTSkillerToxins
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Structure-Based Discovery of Small Molecules Binding to RNA

2017

Ribonucleic acids (RNAs) constitute attractive drug targets. The wealth of structural information about RNAs is steadily increasing making it possible to use this information for the design of new ligands. Two methods that make heavy use of structural knowledge for ligand discovery are molecular docking and fragment screening. In molecular docking the structure of the binding site is used as a template for the design of new ligands using computational methods whereas in fragment screening biophysical methods are used for the detection of weak binding ligands which are subsequently elaborated into tighter binding molecules. In this chapter, we give an overview of both methods in the context …

0301 basic medicineRiboswitch010405 organic chemistryChemistryLigandBinding proteinRNAComputational biology01 natural sciencesSmall molecule0104 chemical sciences03 medical and health sciences030104 developmental biologyDocking (molecular)Structure basedBinding site
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Demo

2017

We present an innovative smartphone-centric tracking system for indoor and outdoor environments, based on the joint utilization of dead-reckoning and computer vision (CV) techniques. The system is explicitly designed for visually impaired people (although it could be easily generalized to other users) and it is built under the assumption that special reference signals, such as painted lines, colored tapes or tactile pavings are deployed in the environment for guiding visually impaired users along pre-defined paths. Thanks to highly optimized software, we are able to execute the CV and sensor-fusion algorithms in run-time on low power hardware such as a normal smartphone, precisely tracking …

0301 basic medicineSensor FusionComputer scienceVisually impairedbusiness.industry05 social sciencesTracking systemSensor fusionNavigation03 medical and health sciencesComputer Networks and Communication030104 developmental biologySoftwareColoredHardware and ArchitectureLocalization0501 psychology and cognitive sciencesComputer visionArtificial intelligenceVisually ImpairedbusinessJoint (audio engineering)Software050107 human factorsProceedings of the 23rd Annual International Conference on Mobile Computing and Networking
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Molecular Characterization of Coxsackievirus B5 Isolates from Sewage, Italy 2016–2017

2019

Hereby, the partial Viral Protein 1 sequences of Coxsackievirus B5 (CV-B5) from sewage samples, collected in Italy from 2016 to 2017, were compared with those available in GenBank from clinical samples. Phylogenetic analysis highlighted: (I) the predominant circulation of CV-B5 genogroup B in Italy, and (II) the presence of two new sub-genogroups.

0301 basic medicineSettore MED/07 - Microbiologia E Microbiologia ClinicaEpidemiologyViral proteinHealth Toxicology and Mutagenesisviruses030106 microbiologySewage010501 environmental sciencesBiologyCoxsackievirusmedicine.disease_causeBrief Communication01 natural sciences03 medical and health sciencesViral ProteinsPhylogenetic analysiNon-polio enterovirusePhylogeneticsVirologymedicineCoxsackievirusPhylogeny0105 earth and related environmental sciencesPoliovirusePhylogenetic analysisCV-B5Phylogenetic treeSewagebusiness.industryvirus diseasesNon-polio enterovirusesbiology.organism_classificationVirologyEnterovirus B HumanItalyGenBankPoliovirusesCoxsackievirubusinessFood ScienceEnvironmental Monitoring
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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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Determinants for Tight and Selective Binding of a Medicinal Dicarbene Gold(I) Complex to a Telomeric DNA G-Quadruplex: a Joint ESI MS and XRD Investi…

2016

International audience; The dicarbene gold(I) complex [Au(9-methylcaffein-8-ylidene)(2)]BF4 is an exceptional organometallic compound of profound interest as a prospective anticancer agent. This gold(I) complex was previously reported to be highly cytotoxic toward various cancer cell lines invitro and behaves as a selective G-quadruplex stabilizer. Interactions of the gold complex with various telomeric DNA models have been analyzed by a combined ESI MS and X-ray diffraction (XRD) approach. ESI MS measurements confirmed formation of stable adducts between the intact gold(I) complex and Tel 23 DNA sequence. The crystal structure of the adduct formed between [Au(9-methylcaffein-8-ylidene)(2)]…

0301 basic medicineSpectrometry Mass Electrospray IonizationESI mass spectrometryStereochemistryElectrospray ionizationStackingESI mass spectrometry; G-quadruplexes; X-ray diffraction; cancer; gold[SDV.CAN]Life Sciences [q-bio]/CancerCrystal structurepotential anticancer agents010402 general chemistryG-quadruplex01 natural sciences[ CHIM ] Chemical SciencesCatalysisAdduct[ SDV.CAN ] Life Sciences [q-bio]/Cancerchemistry.chemical_compound03 medical and health sciencescancer[CHIM]Chemical SciencesChemistry010405 organic chemistryloop flexibilityapoptosiscrystal-structureGeneral ChemistryGeneral MedicineTelomeregoldG-quadruplexesinhibition3. Good health0104 chemical sciencesX-ray diffractionstabilizationcarbene complexessmall molecules030104 developmental biologypancreatic-cancer cellsX-ray crystallographySelectivityDNAmetal-complexes
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Targeting Bacterial Sortase A with Covalent Inhibitors: 27 New Starting Points for Structure-Based Hit-to-Lead Optimization.

2019

Because of its essential role as a bacterial virulence factor, enzyme sortase A (SrtA) has become an attractive target for the development of new antivirulence drugs against Gram-positive infections. Here we describe 27 compounds identified as covalent inhibitors of

0301 basic medicineStaphylococcus aureusMagnetic Resonance SpectroscopyAntivirulenceVirulence Factors030106 microbiologySmall Molecule Libraries03 medical and health sciencesMiceBacterial ProteinsCatalytic DomainDrug DiscoveryAnimalschemistry.chemical_classificationBinding SitesChemistryHit to leadFibroblastsAminoacyltransferasesAnti-Bacterial AgentsMolecular Docking SimulationCysteine Endopeptidases030104 developmental biologyInfectious DiseasesEnzymeBiochemistryCovalent bondSortase ABacterial virulenceNIH 3T3 CellsStructure basedACS infectious diseases
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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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