Antibody CDR-H3 loop flexibility: Insights from X-ray crystallography, structural bioinformatics, and the limits of current deep learning methods
- DOI
- 10.1016/j.jsb.2026.108368
- Published
- 2026-12
- Container
- Journal of Structural Biology
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.jsb.2026.108368,
title = {Antibody CDR-H3 loop flexibility: Insights from X-ray crystallography, structural bioinformatics, and the limits of current deep learning methods},
author = {Amélie Barozet and Magali Mathieu and David Papin and Béatrice Cameron and Tarik Dabdoubi and Anne Séverac and Paul Ferrari and Thierry Siméon and Marc Bianciotto and Juan Cortés},
year = {2026},
journal = {Journal of Structural Biology},
doi = {10.1016/j.jsb.2026.108368},
url = {https://doi.org/10.1016/j.jsb.2026.108368}
}RIS
TY - JOUR TI - Antibody CDR-H3 loop flexibility: Insights from X-ray crystallography, structural bioinformatics, and the limits of current deep learning methods AU - Amélie Barozet AU - Magali Mathieu AU - David Papin AU - Béatrice Cameron AU - Tarik Dabdoubi AU - Anne Séverac AU - Paul Ferrari AU - Thierry Siméon AU - Marc Bianciotto AU - Juan Cortés PY - 2026 JO - Journal of Structural Biology DO - 10.1016/j.jsb.2026.108368 UR - https://doi.org/10.1016/j.jsb.2026.108368 ER -
APA
Barozet, A., Mathieu, M., Papin, D., Cameron, B., Dabdoubi, T., Séverac, A., Ferrari, P., Siméon, T., Bianciotto, M., & Cortés, J. (2026). Antibody CDR-H3 loop flexibility: Insights from X-ray crystallography, structural bioinformatics, and the limits of current deep learning methods. Journal of Structural Biology. https://doi.org/10.1016/j.jsb.2026.108368
Source records
- crossref · retrieved 2026-09-25T02:19:36.816Z