ADMET property prediction and toxicity profiling of CDK2 inhibitors: a practical cheminformatics tutorial using ADMET-AI 2.0 and RDKit

Festus O. Ogungbemiro, Jane O. Anebi, Felix O. Okunlola, Love A. Onyekwere, Evna M. M. Pereira

Open source

DOI
10.1186/s13321-026-01289-0
Published
2026-11-02
Container
Journal of Cheminformatics
Publisher
Springer Science and Business Media LLC
Open access
unknown

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BibTeX

@article{allodium:10.1186/s13321-026-01289-0,
  title = {ADMET property prediction and toxicity profiling of CDK2 inhibitors: a practical cheminformatics tutorial using ADMET-AI 2.0 and RDKit},
  author = {Festus O. Ogungbemiro and Jane O. Anebi and Felix O. Okunlola and Love A. Onyekwere and Evna M. M. Pereira},
  year = {2026},
  journal = {Journal of Cheminformatics},
  doi = {10.1186/s13321-026-01289-0},
  url = {https://doi.org/10.1186/s13321-026-01289-0}
}

RIS

TY  - JOUR
TI  - ADMET property prediction and toxicity profiling of CDK2 inhibitors: a practical cheminformatics tutorial using ADMET-AI 2.0 and RDKit
AU  - Festus O. Ogungbemiro
AU  - Jane O. Anebi
AU  - Felix O. Okunlola
AU  - Love A. Onyekwere
AU  - Evna M. M. Pereira
PY  - 2026
JO  - Journal of Cheminformatics
DO  - 10.1186/s13321-026-01289-0
UR  - https://doi.org/10.1186/s13321-026-01289-0
ER  - 

APA

Ogungbemiro, F. O., Anebi, J. O., Okunlola, F. O., Onyekwere, L. A., & Pereira, E. M. M. (2026). ADMET property prediction and toxicity profiling of CDK2 inhibitors: a practical cheminformatics tutorial using ADMET-AI 2.0 and RDKit. Journal of Cheminformatics. https://doi.org/10.1186/s13321-026-01289-0

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