Yermanos, Alexander
University Medical Center Utrecht · ETH Zurich · Fondation Botnar
7 papers on CoChatORCID 0000-0001-6238-0588
Most cited papers
- Verified
Computational strategies for dissecting the high-dimensional complexity of adaptive immune repertoires
Miho, E., Yermanos, A., Weber, C. R., Berger, C. T., Reddy, S. T., & Greiff, V. (2018) · Frontiers in Immunology
vaccines and immunoinformatics approachesT-cell and B-cell Immunology
Cited by 189
- Verified
Tissue-resident CD8 + T cells drive compartmentalized and chronic autoimmune damage against CNS neurons
Frieser, D., Pignata, A., Khajavi, L., Shlesinger, D., Gonzalez-Fierro, C., Nguyen, X.-H., Yermanos, A., Merkler, D., Höftberger, R., Desestret, V., et al. (2022) · Science Translational Medicine
T-cell and B-cell ImmunologyMultiple Sclerosis Research Studies
Cited by 102
- Verified
Tissue-resident memory CD8 + T cells cooperate with CD4 + T cells to drive compartmentalized immunopathology in the CNS
Vincenti, I., Page, N., Steinbach, K., Yermanos, A., Lemeille, S., Nunez, N., Kreutzfeldt, M., Klimek, B., Di Liberto, G., Egervari, K., et al. (2022) · Science Translational Medicine
T-cell and B-cell ImmunologyMultiple Sclerosis Research Studies
Cited by 70
- Verified
A novel bioinformatics pipeline for the identification of immune inhibitory receptors as potential therapeutic targets
Singh, A., Bedate, A. M., von Richthofen, H. J., Vijver, S. V., van der Vlist, M., Kuhn, R., Yermanos, A., Kuball, J., Keşmir, C., Ramos, M. I. P., et al. (2023) · eLife
Cancer Immunotherapy and BiomarkersImmune Cell Function and Interaction
Cited by 11
- Verified
A novel bioinformatics pipeline for the identification of immune inhibitory receptors as potential therapeutic targets
Singh, A., Miranda Bedate, A., von Richthofen, H. J., Vijver, S. V., van der Vlist, M., Kuhn, R., Yermanos, A., Kuball, J. J., Kesmir, C., Pascoal Ramos, M. I., et al. (2024) · eLife
Cancer Immunotherapy and BiomarkersImmune Cell Function and Interaction
Cited by 11
- Verified
Protein language model pseudolikelihoods capture features of in vivo B cell selection and evolution
van Ginneken, D., Samant, A., Daga-Krumins, K., Glänzer, W., Agrafiotis, A., Kladis, E., Reddy, S. T., & Yermanos, A. (2025) · Briefings in Bioinformatics
vaccines and immunoinformatics approachesMonoclonal and Polyclonal Antibodies Research
Cited by 6
- Verified
A novel bioinformatics pipeline for the identification of immune inhibitory receptors as potential therapeutic targets
Singh, A., Miranda Bedate, A., von Richthofen, H. J., Vijver, S. V., van der Vlist, M., Kuhn, R., Yermanos, A., Kuball, J. J., Kesmir, C., Pascoal Ramos, M. I., et al. (2024) · eLife
Cancer Immunotherapy and BiomarkersImmune Cell Function and Interaction
Cited by 4
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