grant

Advancing cancer vaccine design using deep learning to predict peptide-HLA class I binding and immunogenicity

Organization HARVARD MEDICAL SCHOOLLocation BOSTON, UNITED STATESPosted 1 May 2026Deadline 30 Apr 2030
NIHUS FederalResearch GrantFY2026AI based methodAI language modelsActive LearningAddressAdvanced CancerAdvanced Malignant NeoplasmAllelesAllelomorphsAmino Acid SequenceAntigensAntineoplastic VaccineArchitectureAssayAwarenessBindingBioassayBiological AssayCD8 CellCD8 T cellsCD8 lymphocyteCD8+ T cellCD8+ T-LymphocyteCD8-Positive LymphocytesCD8-Positive T-LymphocytesCancer VaccinesCell LineCell surfaceCellLineCheckpoint inhibitorClass I AntigensClass I Major Histocompatibility AntigensClassificationClinicalClinical TrialsCodonCodon NucleotidesCollaborationsComplexComplex Class 1Computer ModelsComputerized ModelsCooperative LearningDataData SetDevelopmentDiffusionDisease remissionE coliE. coliELISPOTEngineering / ArchitectureEnvironmentEscherichia coliExperiential LearningFellowshipFrequenciesFutureGene ExpressionGenerationsGenesHL-A AntigensHLA AntigensHeterogeneityHigh Throughput AssayHistocompatibility Antigens Class IHuman Leukocyte AntigensIFN-GammaIFN-gIFN-γIFNGIFNγImmune InterferonImmune checkpoint inhibitorInter-tumoral heterogeneityInterferon GammaInterferon Type IIIntratumoral heterogeneityLabelLanguageLearningLeukocyte AntigensLibrariesLiteratureMHC Class I MoleculeMHC Class I ProteinMHC ReceptorMHC class I antigenMachine LearningMajor Histocompatibility Complex Class 1Major Histocompatibility Complex ReceptorMalignant CellMalignant MelanomaMalignant Skin NeoplasmMelanomaMelanoma patientMentorshipMethodsModelingMolecular InteractionNeoplasm VaccinesOutcomePatientsPeptide LibraryPeptide VaccinesPeptidesPerformancePersonalized medical approachPredictive ValuePrimary Protein StructureProcessProductionProteinsProteomicsProxyRemissionResearchRunningSamplingSkin CancerSomatic MutationSourceStrains Cell LinesStructureSystemSystematicsT-Cell ActivationT-Cell Antigen ReceptorsT-Cell ReceptorT-CellsT-LymphocyteT8 CellsT8 LymphocytesTemperatureTestingTherapeuticTrainingTransformer language modelTranslationsTumor Specific PeptideTumor VaccinesUncertaintyUpdateVaccine DesignVaccinesValidationVariantVariationWorkactivate T cellsanti-tumor vaccineantigen bindingantigen boundartificial intelligence language modelsartificial intelligence methodbiophysical characteristicsbiophysical characterizationbiophysical measurementbiophysical parametersbiophysical propertiescancer cellcheck point blockadecheck point immunotherapycheck point inhibitor therapycheck point inhibitory therapycheck point therapycheckpoint blockadecheckpoint immunotherapycheckpoint inhibitor therapycheckpoint inhibitory therapycheckpoint therapycomputational modelingcomputational modelscomputer based modelscomputer based predictioncomputerized modelingcultured cell linedata qualitydata to traindataset to traindeep learningdeep learning based modeldeep learning methoddeep learning modeldeep learning strategydesigndesigningdevelop therapydevelopmentaldiffuseddiffusesdiffusingdiffusionsdoubtenzyme linked immunospot assayexperimentexperimental researchexperimental studyexperimentsgenerative AIgenerative artificial intelligencegenerative modelsheterogeneity in tumorshigh throughput screeningimmune check point blockadeimmune check point inhibitorimmune check point therapyimmune checkpoint blockadeimmune checkpoint therapyimmunogenimmunogenicityimprovedindividualized approachintertumoral heterogeneityintervention developmentintra-tumoral heterogeneityintratumor heterogeneitylFN-Gammalarge language modellarge scale datalarge scale data setslarge scale datasetslarge scale language modelmachine based learningmachine learning based modelmachine learning modelmalignant skin tumormassive scale language modelsmelanocyteneo-antigenneo-epitopesneoantigensneoepitopesneural networknew approachesnovelnovel approachesnovel strategiesnovel strategypatients suffering from melanomapatients with melanomapeptide aminoacid sequencepeptide sequencepersonalization of treatmentpersonalized approachpersonalized medicinepersonalized therapypersonalized treatmentpre-trained modelprecision approachprecision medicineprecision-based medicinepredictive modelingprotein aminoacid sequenceprotein sequenceprotein structureprotein structuresproteins structuresomatic varianttailored approachtherapy developmentthymus derived lymphocytetraining datatraining datasetstranslationtreatment developmenttumortumor heterogeneityvaccination studyvaccination trialvaccine for cancervaccine studyvaccine trialvalidations
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Project Summary
Melanoma is an aggressive form of skin cancer with high inter- and intratumor heterogeneity. Despite

advances in immune checkpoint inhibitor therapies, patients fail to achieve long-term remission. Cancer

vaccines offer a promising, personalized approach by targeting neoantigens, tumor-specific peptides that bind

patient Human…

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Advancing cancer vaccine design using deep learning to predict peptide-HLA class I binding and immunogenicity — HARVARD | Dev Procure