Scoring pesticide-likeness of organic compounds via explainable one-class machine learning

Suyu Mei

Open source

DOI: 10.1007/s11030-026-11686-0
Published: 2026-08-01
Container: Molecular Diversity
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1007/s11030-026-11686-0,
  title = {Scoring pesticide-likeness of organic compounds via explainable one-class machine learning},
  author = {Suyu Mei},
  year = {2026},
  journal = {Molecular Diversity},
  doi = {10.1007/s11030-026-11686-0},
  url = {https://doi.org/10.1007/s11030-026-11686-0}
}

RIS

TY  - JOUR
TI  - Scoring pesticide-likeness of organic compounds via explainable one-class machine learning
AU  - Suyu Mei
PY  - 2026
JO  - Molecular Diversity
DO  - 10.1007/s11030-026-11686-0
UR  - https://doi.org/10.1007/s11030-026-11686-0
ER  -

APA

Mei, S. (2026). Scoring pesticide-likeness of organic compounds via explainable one-class machine learning. Molecular Diversity. https://doi.org/10.1007/s11030-026-11686-0

Source records

crossref · retrieved 2026-11-11T00:53:32.976Z