Using machine learning and molecular docking technology to Elucidate the Molecular Pathway of Perfluorooctanoic Acid-Induced Ulcerative Colitis

丁岩郭, 化中孙

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DOI: 10.21203/rs.3.rs-11489512/v1
Published: 2026-10-28
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Publisher: Springer Science and Business Media LLC
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Cite this work

BibTeX

@article{allodium:10.21203/rs.3.rs-11489512/v1,
  title = {Using machine learning and molecular docking technology to Elucidate the Molecular Pathway of Perfluorooctanoic Acid-Induced Ulcerative Colitis},
  author = {丁岩 郭 and 化中 孙},
  year = {2026},
  doi = {10.21203/rs.3.rs-11489512/v1},
  url = {https://doi.org/10.21203/rs.3.rs-11489512/v1}
}

RIS

TY  - JOUR
TI  - Using machine learning and molecular docking technology to Elucidate the Molecular Pathway of Perfluorooctanoic Acid-Induced Ulcerative Colitis
AU  - 丁岩 郭
AU  - 化中 孙
PY  - 2026
DO  - 10.21203/rs.3.rs-11489512/v1
UR  - https://doi.org/10.21203/rs.3.rs-11489512/v1
ER  -

APA

郭, 丁., & 孙, 化. (2026). Using machine learning and molecular docking technology to Elucidate the Molecular Pathway of Perfluorooctanoic Acid-Induced Ulcerative Colitis. https://doi.org/10.21203/rs.3.rs-11489512/v1

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crossref · retrieved 2026-11-04T15:22:51.658Z