Weber, Cédric R.

Optimization of therapeutic antibodies by predicting antigen specificity from antibody sequence via deep learning

Mason, D. M., Friedensohn, S., Weber, C. R., Jordi, C., Wagner, B., Meng, S. M., Ehling, R. A., Bonati, L., Dahinden, J., Gainza, P., et al. (2021) · Nature Biomedical Engineering

Monoclonal and Polyclonal Antibodies Researchvaccines and immunoinformatics approaches

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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

In silico proof of principle of machine learning-based antibody design at unconstrained scale

Akbar, R., Robert, P. A., Weber, C. R., Widrich, M., Frank, R., Pavlović, M., Scheffer, L., Chernigovskaya, M., Snapkov, I., Slabodkin, A., et al. (2022) · mAbs

Monoclonal and Polyclonal Antibodies Researchvaccines and immunoinformatics approaches

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