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

Zhu B, Liao J, Liu H, Fan X, Cheng Y

DOI: 10.1021/acs.analchem.5c03958
Published: 2025 Dec 2
Container: Analytical chemistry
Publisher: Not recorded
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 = {Zhu B and Liao J and Liu H and Fan X and Cheng Y},
  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  - Zhu B
AU  - Liao J
AU  - Liu H
AU  - Fan X
AU  - Cheng Y
PY  - 2025
JO  - Analytical chemistry
DO  - 10.1021/acs.analchem.5c03958
UR  - https://doi.org/10.1021/acs.analchem.5c03958
ER  -

APA

B, Z., J, L., H, L., X, F., & Y, C. (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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pubmed · retrieved 2026-11-10T13:50:58.958Z