Progress and challenges for the machine learning-based design of fit-for-purpose monoclonal antibodies R Akbar, H Bashour, P Rawat, PA Robert, E Smorodina, TS Cotet, ... MAbs 14 (1), 2008790, 2022 | 62 | 2022 |
Phenotypic determinism and stochasticity in antibody repertoires of clonally expanded plasma cells D Neumeier, A Yermanos, A Agrafiotis, L Csepregi, T Chowdhury, ... Proceedings of the National Academy of Sciences 119 (18), e2113766119, 2022 | 20 | 2022 |
Progress and challenges for the machine learning-based design of fit-for-purpose monoclonal antibodies. mAbs R Akbar, H Bashour, P Rawat, PA Robert, E Smorodina, TS Cotet, ... Taylor & Francis, 2022 | 6 | 2022 |
Persistent virus-specific and clonally expanded antibody-secreting cells respond to induced self-antigen in the CNS A Agrafiotis, R Dizerens, I Vincenti, I Wagner, R Kuhn, D Shlesinger, ... Acta Neuropathologica 145 (3), 335-355, 2023 | 4 | 2023 |
B cell clonal expansion is correlated with antigen-specificity in young but not old mice A Agrafiotis, D Neumeier, KL Hong, T Chowdhury, R Ehling, R Kuhn, ... BioRxiv, 2021 | 4 | 2021 |
Generation of a single-cell B cell atlas of antibody repertoires and transcriptomes to identify signatures associated with antigen specificity A Agrafiotis, D Neumeier, KL Hong, T Chowdhury, R Ehling, R Kuhn, ... Iscience 26 (3), 2023 | 3 | 2023 |
Learning immune receptor representations with protein language models A Dounas, TS Cotet, A Yermanos arXiv preprint arXiv:2402.03823, 2024 | | 2024 |
ePlatypus: an ecosystem for computational analysis of immunogenomics data TS Cotet, A Agrafiotis, V Kreiner, R Kuhn, D Shlesinger, ... Bioinformatics 39 (9), btad553, 2023 | | 2023 |
ePlatypus: an ecosystem for computational analysis of immunogenomics data V Kreiner, A Agrafiotis, TS Cotet, R Kuhn, D Shlesinger, ... bioRxiv, 2022.09. 28.509709, 2022 | | 2022 |
How can we efficiently use mathematical models to understand cell proliferation and differentiation? TS Cotet | | |