Objetivo The immune system within each individual host destroys viruses, which manage to escape immunity on the global scale. Recent experiments show population-level responses of both immune repertoires and viruses, and a history dependence of their functional phenotypes. This constrained long-term co-evolution of immune receptor and viral populations is a stochastic many-body problem occurring at many scales, in which the response emerges based on the past states of both the repertoire and viral populations. STRUGGLE infers the details of viral-immune receptor interactions from functional datasets to obtain a predictive statistical model of co-evolution between immune repertoires and viruses.STRUGGLE covers the many scales of immune-virus interactions: from the molecular level, analyzing high-throughput mutational screens of libraries of antibodies binding a given antigen, through the population-level response of immune repertoires, analyzing next-generation sequencing of vaccine-stimulated whole repertoires, to the population level, modeling the long term co-evolution of both repertoires and viruses.STRUGGLE combines a statistical data analysis approach with cross-scale many-body physics to: - build a molecular model for antigen-receptor binding;- learn statistical models for repertoire-level response to viral antigen stimulation;- validate dynamical models of interactions between antigen and immune receptors;- theoretically evaluate the predictive power of the immune system and viruses;- and predict virus strains and immune responses based on past infections.The outcomes of STRUGGLE include the quantitative characterization of the human T-cell response to flu vaccines, with implications for vaccination strategies, and the trout B-cell response to life-threatening rhabdoviruses, which aids vaccine design for fish, with wide use in agriculture. The statistical properties of the co-evolutionary process are needed for informed development of immunotherapies. Ámbito científico natural sciencesbiological sciencesmicrobiologyvirologynatural sciencesbiological sciencesevolutionary biologymedical and health sciencesbasic medicinepharmacology and pharmacypharmaceutical drugsvaccinesnatural sciencesmathematicsapplied mathematicsstatistics and probabilitymedical and health sciencesbasic medicineimmunologyimmunotherapy Programa(s) H2020-EU.1.1. - EXCELLENT SCIENCE - European Research Council (ERC) Main Programme Tema(s) ERC-2016-COG - ERC Consolidator Grant Convocatoria de propuestas ERC-2016-COG Consulte otros proyectos de esta convocatoria Régimen de financiación ERC-COG - Consolidator Grant Institución de acogida CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS Aportación neta de la UEn € 1 909 750,00 Dirección RUE MICHEL ANGE 3 75794 Paris Francia Ver en el mapa Región Ile-de-France Ile-de-France Paris Tipo de actividad Research Organisations Enlaces Contactar con la organización Opens in new window Sitio web Opens in new window Participación en los programas de I+D de la UE Opens in new window Red de colaboración de HORIZON Opens in new window Coste total € 1 909 750,00 Beneficiarios (1) Ordenar alfabéticamente Ordenar por aportación neta de la UE Ampliar todo Contraer todo CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS Francia Aportación neta de la UEn € 1 909 750,00 Dirección RUE MICHEL ANGE 3 75794 Paris Ver en el mapa Región Ile-de-France Ile-de-France Paris Tipo de actividad Research Organisations Enlaces Contactar con la organización Opens in new window Sitio web Opens in new window Participación en los programas de I+D de la UE Opens in new window Red de colaboración de HORIZON Opens in new window Coste total € 1 909 750,00