Article Versions Notes

Musnier A, Bourquard T, Vallet A, Mathias L, Bruneau G, Ayoub MA, Travert O, Corde Y, Gallay N, Boulo T, et al. A New in Silico Antibody Similarity Measure Both Identifies Large Sets of Epitope Binders with Distinct CDRs and Accurately Predicts Off-Target Reactivity. International Journal of Molecular Sciences. 2022; 23(17):9765. https://doi.org/10.3390/ijms23179765

Musnier, Astrid, Thomas Bourquard, Amandine Vallet, Laetitia Mathias, Gilles Bruneau, Mohammed Akli Ayoub, Ophélie Travert, Yannick Corde, Nathalie Gallay, Thomas Boulo, and et al. 2022. "A New in Silico Antibody Similarity Measure Both Identifies Large Sets of Epitope Binders with Distinct CDRs and Accurately Predicts Off-Target Reactivity" International Journal of Molecular Sciences 23, no. 17: 9765. https://doi.org/10.3390/ijms23179765

Musnier, A., Bourquard, T., Vallet, A., Mathias, L., Bruneau, G., Ayoub, M. A., Travert, O., Corde, Y., Gallay, N., Boulo, T., Cortes, S., Watier, H., Crépieux, P., Reiter, E., & Poupon, A. (2022). A New in Silico Antibody Similarity Measure Both Identifies Large Sets of Epitope Binders with Distinct CDRs and Accurately Predicts Off-Target Reactivity. International Journal of Molecular Sciences, 23(17), 9765. https://doi.org/10.3390/ijms23179765