Gaps in AI-Driven Pharmacokinetic Property Prediction for Early Drug Development: A Scoping Review

Lucille Tomin, Vida Bodaghi-Namileh, Diane G. Schwartz, Ram Samudrala, Zackary Falls

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DOI: 10.1021/acs.jcim.6c01331
Published: 2026-08-01
Container: Journal of Chemical Information and Modeling
Publisher: American Chemical Society (ACS)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1021/acs.jcim.6c01331,
  title = {Gaps in AI-Driven
Pharmacokinetic Property Prediction
for Early Drug Development: A Scoping Review},
  author = {Lucille Tomin and Vida Bodaghi-Namileh and Diane G. Schwartz and Ram Samudrala and Zackary Falls},
  year = {2026},
  journal = {Journal of Chemical Information
and Modeling},
  doi = {10.1021/acs.jcim.6c01331},
  url = {https://doi.org/10.1021/acs.jcim.6c01331}
}

RIS

TY  - JOUR
TI  - Gaps in AI-Driven
Pharmacokinetic Property Prediction
for Early Drug Development: A Scoping Review
AU  - Lucille Tomin
AU  - Vida Bodaghi-Namileh
AU  - Diane G. Schwartz
AU  - Ram Samudrala
AU  - Zackary Falls
PY  - 2026
JO  - Journal of Chemical Information
and Modeling
DO  - 10.1021/acs.jcim.6c01331
UR  - https://doi.org/10.1021/acs.jcim.6c01331
ER  -

APA

Tomin, L., Bodaghi-Namileh, V., Schwartz, D. G., Samudrala, R., & Falls, Z. (2026). Gaps in AI-Driven Pharmacokinetic Property Prediction for Early Drug Development: A Scoping Review. Journal of Chemical Information and Modeling. https://doi.org/10.1021/acs.jcim.6c01331

Source records

crossref · retrieved 2026-09-26T21:09:13.589Z