PinMyMetal: a hybrid learning system to accurately model transition metal binding sites in macromolecules.

Zhang H, Zhong J, Gucwa M, Zhang Y, Ma H, Deng L, Mao L, Minor W, Wang N, Zheng H

DOI: 10.1038/s41467-025-57637-5
Published: 2025 Mar 28
Container: Nature communications
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s41467-025-57637-5,
  title = {PinMyMetal: a hybrid learning system to accurately model transition metal binding sites in macromolecules.},
  author = {Zhang H and Zhong J and Gucwa M and Zhang Y and Ma H and Deng L and Mao L and Minor W and Wang N and Zheng H},
  year = {2025},
  journal = {Nature communications},
  doi = {10.1038/s41467-025-57637-5},
  url = {https://doi.org/10.1038/s41467-025-57637-5}
}

RIS

TY  - JOUR
TI  - PinMyMetal: a hybrid learning system to accurately model transition metal binding sites in macromolecules.
AU  - Zhang H
AU  - Zhong J
AU  - Gucwa M
AU  - Zhang Y
AU  - Ma H
AU  - Deng L
AU  - Mao L
AU  - Minor W
AU  - Wang N
AU  - Zheng H
PY  - 2025
JO  - Nature communications
DO  - 10.1038/s41467-025-57637-5
UR  - https://doi.org/10.1038/s41467-025-57637-5
ER  -

APA

H, Z., J, Z., M, G., Y, Z., H, M., L, D., L, M., W, M., N, W., & H, Z. (2025). PinMyMetal: a hybrid learning system to accurately model transition metal binding sites in macromolecules.. Nature communications. https://doi.org/10.1038/s41467-025-57637-5

Source records

pubmed · retrieved 2026-09-25T23:13:26.121Z