Extracting structure-activity relationships from patents with large language models.

Zheng S, Yao G, Cai H, Ma N, Zhang X, Hu Y

DOI: 10.1186/s12859-026-06587-w
Published: 2026 Aug 3
Container: BMC bioinformatics
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1186/s12859-026-06587-w,
  title = {Extracting structure-activity relationships from patents with large language models.},
  author = {Zheng S and Yao G and Cai H and Ma N and Zhang X and Hu Y},
  year = {2026},
  journal = {BMC bioinformatics},
  doi = {10.1186/s12859-026-06587-w},
  url = {https://doi.org/10.1186/s12859-026-06587-w}
}

RIS

TY  - JOUR
TI  - Extracting structure-activity relationships from patents with large language models.
AU  - Zheng S
AU  - Yao G
AU  - Cai H
AU  - Ma N
AU  - Zhang X
AU  - Hu Y
PY  - 2026
JO  - BMC bioinformatics
DO  - 10.1186/s12859-026-06587-w
UR  - https://doi.org/10.1186/s12859-026-06587-w
ER  -

APA

S, Z., G, Y., H, C., N, M., X, Z., & Y, H. (2026). Extracting structure-activity relationships from patents with large language models.. BMC bioinformatics. https://doi.org/10.1186/s12859-026-06587-w

Source records

pubmed · retrieved 2026-11-10T13:52:38.230Z