The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Whole-body physiologically based pharmacokinetic models
Abstract
This review summarizes the most recent developments in and applications of physiologically based pharmacokinetic (PBPK) modeling methodology originating from both the pharmaceutical and environmental toxicology areas. It focuses on works published in the last 5 years, although older seminal papers have also been referenced. After a brief introduction to the field and several essential definitions, the main body of the text is structured to follow the major steps of a typical PBPK modeling exercise. Various applications of the methodology are briefly described. The major future trends and perspectives are outlined. The main conclusion from the review of the available literature is that PBPK modeling, despite its obvious potential and recent incremental developments, has not taken the place it deserves, especially in pharmaceutical and drug development sciences.
Overview
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
Rodgers, T., Leahy, D., & Rowland, M. (2005) · Journal of Pharmaceutical Sciences · doi:10.1002/jps.20322 · Cited by 776
Johnson, T. N., Rostami-Hodjegan, A., & Tucker, G. T. (2006) · Clinical Pharmacokinetics · doi:10.2165/00003088-200645090-00005 · Cited by 530
Development and Evaluation of a Generic Physiologically Based Pharmacokinetic Model for Children
Edginton, A. N., Schmitt, W., & Willmann, S. (2006) · Clinical Pharmacokinetics · doi:10.2165/00003088-200645100-00005 · Cited by 357
A Novel Strategy for Physiologically Based Predictions of Human Pharmacokinetics
Jones, H. M., Parrott, N., Jorga, K., & Lav??, T. (2006) · Clinical Pharmacokinetics · doi:10.2165/00003088-200645050-00006 · Cited by 352
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
Basic Concepts in Physiologically Based Pharmacokinetic Modeling in Drug Discovery and Development
Jones, H., & Rowland‐Yeo, K. (2013) · CPT: Pharmacometrics & Systems Pharmacology · doi:10.1038/psp.2013.41 · Cited by 626
In silico ADME/T modelling for rational drug design
Wang, Y., Xing, J., Xu, Y., Zhou, N., Peng, J., Xiong, Z., Liu, X., Luo, X., Luo, C., Chen, K., et al. (2015) · Quarterly Reviews of Biophysics · doi:10.1017/s0033583515000190 · Cited by 367
Physiologically Based Pharmacokinetic Modeling of Nanoparticles
Li, M., Al-Jamal, K. T., Kostarelos, K., & Reineke, J. (2010) · ACS Nano · doi:10.1021/nn1018818 · Cited by 351
Eissing, T. (2011) · Frontiers in Physiology · doi:10.3389/fphys.2011.00004 · Cited by 204
Metadata
- Authors
- Nestorov, I.
- Venue
- Expert Opinion on Drug Metabolism & Toxicology
- Publisher
- Informa UK Limited
- Published
- 2007-04
- Volume
- 3
- Issue
- 2
- Pages
- 235-249
- ISSN
- 1742-5255 (ISSN-L)
- 1744-7607
- OpenAlex
- W2133257763
- Cited by
- 188
- References
- 4
- FWCI
- 9.23
- Type
- journal article
- Language
- en
- Open access
- closed
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: Whole-body physiologically based pharmacokinetic models. https://app.cochat.ai/papers/10.1517/17425255.3.2.235
- The paper
- Nestorov, I. (2007). Whole-body physiologically based pharmacokinetic models. Expert Opinion on Drug Metabolism & Toxicology. https://doi.org/10.1517/17425255.3.2.235
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.
