長崎大学 · 熱帯医学研究所

研究关键词T-cell receptor binding prediction・cancer immunotherapy・neoantigen vaccine design・peptide generalization・variational information bottlenecks・TCR alpha-beta pairing・machine learning for immunology・cross-reactive epitope assessment

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• Assessing the generalization capabilities of TCR binding predictors via peptide distance analysis Leonardo V. Castorina,Filippo Grazioli,Pierre Machart,Anja Mösch,Federico Errica PLOS One 2025年05月20日2025
• NeoAgDT: optimization of personal neoantigen vaccine composition by digital twin simulation of a cancer cell population Anja Mösch,Filippo Grazioli,Pierre Machart,Brandon Malone Bioinformatics 2024年05月02日2024
• Variational methods for Learning Multilevel Genetic Algorithms using the Kantorovich Monad Jonathan Warrell,Francesco Alesiani,Cameron Smith,Anja Mösch,Martin Renqiang Min 2024年2024
• Discrete-Continuous Variational Optimization with Local Gradients Jonathan H Warrell,Francesco Alesiani,Cameron Smith,Anja Mösch,Martin Renqiang Min OPT 2024: Optimization for Machine Learning 2024年10月2024

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