Search results for "Cripto"

showing 10 items of 863 documents

The Effect of the Environmental Temperature on the Adaptation to Host in the Zoonotic Pathogen Vibrio vulnificus

2020

Vibrio vulnificus is a zoonotic pathogen that lives in temperate, tropical and subtropical aquatic ecosystems whose geographical distribution is expanding due to global warming. The species is genetically variable and only the strains that belong to the zoonotic clonal-complex can cause vibriosis in both humans and fish (being its main host the eel). Interestingly, the severity of the vibriosis in the eel and the human depends largely on the water temperature (highly virulent at 28°C, avirulent at 20°C or below) and on the iron content in the blood, respectively. The objective of this work was to unravel the role of temperature in the adaptation to the host through a transcriptomic and phen…

Microbiology (medical)lcsh:QR1-502VirulenceVibrio vulnificusMicroarrayMicrobiologylcsh:MicrobiologyMicrobiology03 medical and health sciencesColonizationPathogenHost adaptation030304 developmental biology0303 health sciencesbiology030306 microbiologyHost (biology)Temperaturetemperaturehost adaptationbiology.organism_classificationV. vulnificusHost adaptationAdaptationTranscriptometranscriptomemicroarrayBacteriaFrontiers in Microbiology
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DEFINITION ET ETUDE DES PERFORMANCES D'UN DETECTEUR DE STRUCTURES CURVILINEAIRES. APPLICATION A LA STEREOSCOPIE ET LA DETECTION D'OBJETS FILAIRES

2008

The work presented in this paper falls under the domain of matching. In this context, we try to show the interest of using the curvilinear regions in order to enhance the global performance of various matching applications. A brand new detector for curvilinear regions is introduced (CRD), along with the specific curvilinear regions descriptor (CRD) required. Performance evaluations were done in two parts: First, we evaluated and compared the segmentations performances of our detector, in particular on a retina vessels segmentation application. And second, we estimated the matching performances using K. Mykolajczyk toolkit. This methodology helps obtaining intrinsic performances and comparin…

Mise en correspondanceDétecteursDetectorsEstimation d'homographiesDescriptorsHomography estimationDescripteursRégions curvilinéairesSegmentation[ INFO.INFO-HC ] Computer Science [cs]/Human-Computer Interaction [cs.HC]Matching[INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC][INFO.INFO-HC] Computer Science [cs]/Human-Computer Interaction [cs.HC]Curvilinear regions
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Maintenance of a Protein Structure in the Dynamic Evolution of TIMPs over 600 Million Years

2016

Deciphering the events leading to protein evolution represents a challenge, especially for protein families showing complex evolutionary history. Among them, TIMPs represent an ancient eukaryotic protein family widely distributed in the animal kingdom. They are known to control the turnover of the extracellular matrix and are considered to arise early during metazoan evolution, arguably tuning essential features of tissue and epithelial organization. To probe the structure and molecular evolution of TIMPs within metazoans, we report the mining and structural characterization of a large data set of TIMPs over approximately 600 Myr. The TIMPs repertoire was explored starting from the Cnidaria…

Models Molecular0301 basic medicineTIMPsProtein familyProtein Conformationhomology modelingSettore BIO/11 - Biologia MolecolareSequence alignmentBiologytranscriptome wide analysisConserved sequencecnidariansEvolution MolecularCnidaria03 medical and health sciences0302 clinical medicineProtein structurePhylogeneticsMolecular evolutionGeneticsAnimalsTIMPAmino Acid SequenceHomology modelingcnidarianConserved SequencePhylogenyEcology Evolution Behavior and SystematicsGeneticsmyrTissue Inhibitor of Metalloproteinases030104 developmental biologyEvolutionary biologyTIMPs; cnidarians; homology modeling; transcriptome wide analysisSequence Alignment030217 neurology & neurosurgeryResearch Article
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Recurrent Mutations in the Basic Domain of TWIST2 Cause Ablepharon Macrostomia and Barber-Say Syndromes

2015

Contains fulltext : 153827.pdf (Publisher’s version ) (Open Access) Ablepharon macrostomia syndrome (AMS) and Barber-Say syndrome (BSS) are rare congenital ectodermal dysplasias characterized by similar clinical features. To establish the genetic basis of AMS and BSS, we performed extensive clinical phenotyping, whole exome and candidate gene sequencing, and functional validations. We identified a recurrent de novo mutation in TWIST2 in seven independent AMS-affected families, as well as another recurrent de novo mutation affecting the same amino acid in ten independent BSS-affected families. Moreover, a genotype-phenotype correlation was observed, because the two syndromes differed based s…

Models MolecularCandidate geneHirsutismProtein ConformationHeLa Cellmedicine.disease_causeTranscriptomeTwist transcription factorModelsGenetics(clinical)ExomeEye AbnormalitiesNon-U.S. Gov'tExomeGenetics (clinical)ZebrafishGeneticsMutationMicroscopyMacrostomiaSetleis syndromeHypertelorismResearch Support Non-U.S. Gov'tHypertrichosiEyelid DiseaseGENÉTICAPhenotypeEyelid DiseasesAbnormalitiesMultipleSequence AnalysisHumanChromatin ImmunoprecipitationMolecular Sequence DataMutation MissenseHypertrichosisAbnormalities; Multiple; Amino Acid Sequence; Animals; Base Sequence; Chromatin Immunoprecipitation; Exome; Eye Abnormalities; Eyelid Diseases; HeLa Cells; Hirsutism; Humans; Hypertelorism; Hypertrichosis; Macrostomia; Microscopy; Electron; Molecular Sequence Data; Mutation; Missense; Protein Conformation; Repressor Proteins; Sequence Analysis; DNA; Skin Abnormalities; Twist Transcription Factor; Zebrafish; Models; Molecular; Phenotype; Genetics; Genetics (clinical)Other Research Radboud Institute for Molecular Life Sciences [Radboudumc 0]BiologyResearch SupportElectronArticleFrameshift mutationGeneticAblepharon macrostomia syndromeSkin AbnormalitieGeneticsmedicineJournal ArticleAnimalsHumansAbnormalities MultipleAmino Acid SequenceNeurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7]Base SequenceAnimalTwist-Related Protein 1MolecularSequence Analysis DNADNARepressor Proteinmedicine.diseaseRepressor ProteinsTwist Transcription FactorEye AbnormalitieMicroscopy ElectronMutationSkin Abnormalitiessense organsMissenseNanomedicine Radboud Institute for Molecular Life Sciences [Radboudumc 19]HeLa CellsAmerican journal of human genetics
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Computational Identification of Chemical Compounds with Potential Activity against Leishmania amazonensis using Nonlinear Machine Learning Techniques.

2019

Leishmaniasis is a poverty-related disease endemic in 98 countries worldwide, with morbidity and mortality increasing daily. All currently used first-line and second-line drugs for the treatment of leishmaniasis exhibit several drawbacks including toxicity, high costs and route of administration. Consequently, the development of new treatments for leishmaniasis is a priority in the field of neglected tropical diseases. The aim of this work is to develop computational models those allow the identification of new chemical compounds with potential anti-leishmanial activity. A data set of 116 organic chemicals, assayed against promastigotes of Leishmania amazonensis, is used to develop the the…

Models MolecularChemical compoundComputer scienceAntiprotozoal AgentsDrug Evaluation PreclinicalMachine learningcomputer.software_genre01 natural sciencesMachine Learningchemistry.chemical_compoundParasitic Sensitivity TestsMolecular descriptorDrug DiscoveryLeishmaniaComputational modelLeishmania amazonensisVirtual screeningbiologyArtificial neural networkbusiness.industryGeneral Medicinebiology.organism_classification0104 chemical sciencesSupport vector machine010404 medicinal & biomolecular chemistryIdentification (information)chemistryArtificial intelligencebusinesscomputerSoftwareCurrent topics in medicinal chemistry
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DesMol2, an Effective Tool for the Construction of Molecular Libraries and Its Application to QSAR Using Molecular Topology

2019

A web application, DesMol2, which offers two main functionalities, is presented: the construction of molecular libraries and the calculation of topological indices. These functionalities are explained through a practical example of research of active molecules to the formylpeptide receptor (FPR), a receptor associated with chronic inflammation in systemic amyloidosis and Alzheimer&rsquo

Models MolecularMultilinear mapQuantitative structure–activity relationshiplinear discriminant analysisComputer scienceQuantitative Structure-Activity RelationshipPharmaceutical ScienceComputational biology01 natural sciencesArticleAnalytical ChemistrySmall Molecule Librarieslcsh:QD241-44103 medical and health scienceslcsh:Organic chemistryDrug DiscoveryPhysical and Theoretical ChemistryPiperazineDesMol2030304 developmental biology0303 health sciencesMolecular Structure010405 organic chemistryOrganic Chemistrymolecular librariesBase (topology)Linear discriminant analysisReceptors Formyl PeptideSystemic amyloidosis0104 chemical sciencestopology descriptorsmultilinear regression analysisDiscriminantChemistry (miscellaneous)Molecular MedicineMultiple linear regression analysisMolecular topologyAlzheimer’s diseaseDatabases ChemicalSoftwareProtein BindingMolecules
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Docking and multivariate methods to explore HIV-1 drug-resistance: a comparative analysis

2007

In this paper we describe a comparative analysis between multivariate and docking methods in the study of the drug resistance to the reverse transcriptase and the protease inhibitors. In our early papers we developed a simple but efficient method to evaluate the features of compounds that are less likely to trigger resistance or are effective against mutant HIV strains, using the multivariate statistical procedures PCA and DA. In the attempt to create a more solid background for the prediction of susceptibility or resistance, we carried out a comparative analysis between our previous multivariate approach and molecular docking study. The intent of this paper is not only to find further supp…

Models MolecularMultivariate statisticsMultivariate analysisAnti-HIV AgentsCombined useHuman immunodeficiency virus (HIV)Computational biologyDrug resistanceBiologyLigandsBioinformaticsmedicine.disease_causeHIV ProteaseMolecular descriptorDrug Resistance ViralDrug DiscoverymedicineHumansDOCKINGPhysical and Theoretical ChemistryBinding SitesHIV Protease InhibitorsSettore CHIM/08 - Chimica FarmaceuticaHIV Reverse TranscriptaseComputer Science ApplicationsDRUG RESISTANCEDocking (molecular)Drug DesignMultivariate AnalysisMutationHIV-1Computer-Aided DesignReverse Transcriptase InhibitorsMultivariate statisticalJournal of Computer-Aided Molecular Design
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Novel 3D bio-macromolecular bilinear descriptors for protein science: Predicting protein structural classes

2015

In the present study, we introduce novel 3D protein descriptors based on the bilinear algebraic form in the ℝn space on the coulombic matrix. For the calculation of these descriptors, macromolecular vectors belonging to ℝn space, whose components represent certain amino acid side-chain properties, were used as weighting schemes. Generalization approaches for the calculation of inter-amino acidic residue spatial distances based on Minkowski metrics are proposed. The simple- and double-stochastic schemes were defined as approaches to normalize the coulombic matrix. The local-fragment indices for both amino acid-types and amino acid-groups are presented in order to permit characterizing fragme…

Models MolecularProtein structural classesMathematical parametersProtein functionQuantitative Structure-Activity RelationshipBilinear interpolationQuantitative structure activity relation3D protein descriptorBilinear formProceduresChemical structureStatistical parametersMinkowski spaceProtein analysisAmino AcidsPriority journalMathematicsInterpretabilityQuantitative Biology::BiomoleculesApplied MathematicsStatistical parameterValidation studyGeneral MedicineComputer simulationDiscriminant analysisReproducibilityAmino acidAlgorithmChemistryProtein conformationModeling and SimulationStatistical modelGeneral Agricultural and Biological SciencesBiological systemAmino acid analysisAlgorithmsNonbiological modelStatistics and ProbabilityCorrelation coefficientLDAMacromolecular SubstancesMarkov chainMacromoleculeStructure analysisModels BiologicalArticleGeneral Biochemistry Genetics and Molecular BiologyCombinatoricsStochastic processesBilinear formBiologyMatrixGeneral Immunology and MicrobiologyProteinCoulombic matrixComputational BiologyProteinsReproducibility of ResultsLinear discriminant analysisWeightingCorrelation coefficientProtein structureBiological modelLinear ModelsThree-dimensional modelingJournal of Theoretical Biology
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TOMOCOMD-CARDD descriptors-based virtual screening of tyrosinase inhibitors: evaluation of different classification model combinations using bond-bas…

2006

Abstract A new set of bond-level molecular descriptors (bond-based linear indices) are used here in QSAR (quantitative structure–activity relationship) studies of tyrosinase inhibitors, for finding functions that discriminate between the tyrosinase inhibitor compounds and inactive ones. A database of 246 compounds was collected for this study; all organic chemicals were reported as tyrosinase inhibitors; they had great structural diversity. This dataset can be considered as a helpful tool, not only for theoretical chemists but also for other researchers in this area. The set used as inactive has 412 drugs with other clinical uses. Twelve LDA-based QSAR models were obtained, the first six us…

Models MolecularQuantitative structure–activity relationshipMolecular modelStereochemistryTyrosinaseClinical BiochemistryPharmaceutical ScienceQuantitative Structure-Activity RelationshipBiochemistryModels BiologicalChemometricsMolecular descriptorDrug DiscoveryComputer SimulationMolecular BiologyVirtual screeningMolecular StructureChemistryMonophenol MonooxygenaseOrganic ChemistryDiscriminant AnalysisLinear discriminant analysisModels ChemicalTopological indexMolecular MedicineBiological systemAgaricalesPeptidesAlgorithmsBioorganicmedicinal chemistry
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On the contribution of molecular topology to drug design and discovery.

2010

Abstract The role of molecular topology (MT) in the design and selection of new drugs is discussed. After an overview of the different in silico molecular design current technologies, the QSAR analysis is dealt in detail with particular emphasis in the use of topological indices as molecular descriptors. The results of the application of MT in drug design and discovery are described and finally a possible explanation is given about some of the key reasons explaining it's the extraordinary performance.

Models MolecularQuantitative structure–activity relationshipTheoretical computer scienceComputer scienceIn silicoQuantitative Structure-Activity RelationshipGeneral MedicinePharmaceutical PreparationsMolecular descriptorDrug DesignDrug DiscoveryMolecular MedicineAnimalsComputer-Aided DesignHumansComputer SimulationMolecular topologyCurrent computer-aided drug design
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