Search results for "escape mutation"

showing 2 items of 2 documents

Impact of HBV genotypes A and D genetic variability on infection evolution

2015

HBV is characterized by a high genetic variability, which is the basis of its classification into eight genotypes (A-H). HBV infection is associated with different outcomes, from self-limiting acute hepatitis to active chronic hepatitis, asymptomatic carriage, and occult infection. The aim of this study was to analyze the genetic variability of HBV genotypes A and D isolates from 79 cases of self-limiting acute hepatitis and chronic hepatitis, in order to identify HBV variants associated with resolution or chronicity of acute HBV infection. The entire preS-S sequence and a fragment of 346 bp of the preC-C region, containing Enhancer II and Basal Core Promoter sequences, were analyzed. A phy…

AdultMaleMicrobiology (medical)Hepatitis B virusSettore MED/07 - Microbiologia E Microbiologia ClinicaGenotypeAcute hepatitis BBiologymedicine.disease_causeMicrobiologyLiver diseaseViral ProteinspreC/C mutationGeneticImmune-escape mutationGenetic variationGenotypeGeneticsmedicineHumansViral ProteinGenetic variabilityMolecular BiologyEcology Evolution Behavior and SystematicsPhylogenyAgedHepatitis B virusPolymorphism GeneticpreS/S mutationGenetic VariationHepatitis B viruHepatitis BMiddle Agedmedicine.diseaseHepatitis BVirologyBiological EvolutionEcology Evolution Behavior and SystematicInfectious DiseasesAmino Acid SubstitutionViral evolutionImmunologyMutationFemaleViral hepatitisHuman
researchProduct

Quantitative Prediction of the Landscape of T Cell Epitope Immunogenicity in Sequence Space

2019

Immunodominant T cell epitopes preferentially targeted in multiple individuals are the critical element of successful vaccines and targeted immunotherapies. However, the underlying principles of this "convergence" of adaptive immunity among different individuals remain poorly understood. To quantitatively describe epitope immunogenicity, here we propose a supervised machine learning framework generating probabilistic estimates of immunogenicity, termed "immunogenicity scores," based on the numerical features computed through sequence-based simulation approximating the molecular scanning process of peptides presented onto major histocompatibility complex (MHC) by the human T cell receptor (T…

lcsh:Immunologic diseases. AllergyT cellT-LymphocytesImmunologyReceptors Antigen T-CellDatasets as TopicEpitopes T-Lymphocytechemical and pharmacologic phenomenaComputational biologyBiologyAdaptive ImmunityimmunogenicityMajor histocompatibility complexEpitopeMajor Histocompatibility ComplexmedicineImmunology and AllergyHumansComputer SimulationAntigen PresentationImmunodominant EpitopesRepertoireImmunogenicityT-cell receptorComputational BiologyAcquired immune systemmedicine.anatomical_structuremachine learningescape mutationbiology.proteinThermodynamicsT cell receptor repertoireSequence space (evolution)lcsh:RC581-607T cell epitopeFrontiers in Immunology
researchProduct