MSformer: A Meta-Structure Based Interpretable Framework for Representation Learning of Natural Products

Bingjie Zhu, Jie Liao, Huihui Liu, Xiaohui Fan, Yiyu Cheng

Open source

DOI: 10.1021/acs.analchem.5c03958
Published: 2025-11-07
Container: Analytical Chemistry
Publisher: American Chemical Society (ACS)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1021/acs.analchem.5c03958,
  title = {MSformer: A Meta-Structure Based Interpretable Framework for Representation Learning of Natural Products},
  author = {Bingjie Zhu and Jie Liao and Huihui Liu and Xiaohui Fan and Yiyu Cheng},
  year = {2025},
  journal = {Analytical Chemistry},
  doi = {10.1021/acs.analchem.5c03958},
  url = {https://doi.org/10.1021/acs.analchem.5c03958}
}

RIS

TY  - JOUR
TI  - MSformer: A Meta-Structure Based Interpretable Framework for Representation Learning of Natural Products
AU  - Bingjie Zhu
AU  - Jie Liao
AU  - Huihui Liu
AU  - Xiaohui Fan
AU  - Yiyu Cheng
PY  - 2025
JO  - Analytical Chemistry
DO  - 10.1021/acs.analchem.5c03958
UR  - https://doi.org/10.1021/acs.analchem.5c03958
ER  -

APA

Zhu, B., Liao, J., Liu, H., Fan, X., & Cheng, Y. (2025). MSformer: A Meta-Structure Based Interpretable Framework for Representation Learning of Natural Products. Analytical Chemistry. https://doi.org/10.1021/acs.analchem.5c03958

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crossref · retrieved 2026-09-25T17:58:03.051Z