The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Predicting Drug–Drug Interactions: An FDA Perspective
Open accessOverview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Wu, C.-Y., & Benet, L. Z. (2005) · Pharmaceutical Research · doi:10.1007/s11095-004-9004-4 · Cited by 1,401
Cited by
Physiologically-Based Pharmacokinetics in Drug Development and Regulatory Science
Rowland, M., Peck, C., & Tucker, G. (2011) · Annual Review of Pharmacology and Toxicology · doi:10.1146/annurev-pharmtox-010510-100540 · Cited by 662
Organotypic liver culture models: meeting current challenges in toxicity testing
LeCluyse, E. L., Witek, R. P., Andersen, M. E., & Powers, M. J. (2012) · Critical Reviews in Toxicology · doi:10.3109/10408444.2012.682115 · Cited by 363
Computational Prediction of Metabolism: Sites, Products, SAR, P450 Enzyme Dynamics, and Mechanisms
Kirchmair, J., Williamson, M. J., Tyzack, J. D., Tan, L., Bond, P. J., Bender, A., & Glen, R. C. (2012) · Journal of Chemical Information and Modeling · doi:10.1021/ci200542m · Cited by 289
Drug—drug interaction through molecular structure similarity analysis
Vilar, S., Harpaz, R., Uriarte, E., Santana, L., Rabadan, R., & Friedman, C. (2012) · Journal of the American Medical Informatics Association · doi:10.1136/amiajnl-2012-000935 · Cited by 288
Drug interactions evaluation: An integrated part of risk assessment of therapeutics
Zhang, L., Reynolds, K. S., Zhao, P., & Huang, S.-M. (2010) · Toxicology and Applied Pharmacology · doi:10.1016/j.taap.2009.12.016 · Cited by 125
Self-citation
Metadata
- Authors
- Zhang, L., Zhang, Y., Zhao, P., & Huang, S.-M.
- Venue
- The AAPS Journal
- Published
- 2009-05-06
- Volume
- 11
- Issue
- 2
- Pages
- 300-306
- ISSN
- 1550-7416 (ISSN-L)
- OpenAlex
- W2091582819
- Cited by
- 267
- References
- 1
- FWCI
- 15.91
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Predicting Drug–Drug Interactions: An FDA Perspective. https://app.cochat.ai/papers/10.1208/s12248-009-9106-3
- The paper
- Zhang, L., Zhang, Y., Zhao, P., & Huang, S.-M. (2009). Predicting Drug–Drug Interactions: An FDA Perspective. The AAPS Journal. https://doi.org/10.1208/s12248-009-9106-3
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
