Interpretable machine learning uncovers structural determinants of Wnt-Wntless binding specificity from atomistic simulations.
- DOI
- 10.1038/s42004-026-02013-7
- Published
- 2026 Apr 11
- Container
- Communications chemistry
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s42004-026-02013-7,
title = {Interpretable machine learning uncovers structural determinants of Wnt-Wntless binding specificity from atomistic simulations.},
author = {Callahan TJ and Shi J and Cheng KJ and Sauer MA and Pogorelov TV and Capponi S},
year = {2026},
journal = {Communications chemistry},
doi = {10.1038/s42004-026-02013-7},
url = {https://doi.org/10.1038/s42004-026-02013-7}
}RIS
TY - JOUR TI - Interpretable machine learning uncovers structural determinants of Wnt-Wntless binding specificity from atomistic simulations. AU - Callahan TJ AU - Shi J AU - Cheng KJ AU - Sauer MA AU - Pogorelov TV AU - Capponi S PY - 2026 JO - Communications chemistry DO - 10.1038/s42004-026-02013-7 UR - https://doi.org/10.1038/s42004-026-02013-7 ER -
APA
TJ, C., J, S., KJ, C., MA, S., TV, P., & S, C. (2026). Interpretable machine learning uncovers structural determinants of Wnt-Wntless binding specificity from atomistic simulations.. Communications chemistry. https://doi.org/10.1038/s42004-026-02013-7
Source records
- pubmed · retrieved 2026-09-25T12:53:22.517Z
- europe-pmc · retrieved 2026-09-25T12:53:22.527Z