Interpretable machine learning uncovers structural determinants of Wnt-Wntless binding specificity from atomistic simulations.

Callahan TJ, Shi J, Cheng KJ, Sauer MA, Pogorelov TV, Capponi S

Open source

DOI
10.1038/s42004-026-02013-7
Published
2026 Apr 11
Container
Communications chemistry
Publisher
Not recorded
Open access
yes

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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

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