Evidence map›Paper›PMID 26871706›Full record

ArticlePLoS computational biology2016

Developing a Physiologically-Based Pharmacokinetic Model Knowledgebase in Support of Provisional Model Construction.

Jingtao Lu, Michael-Rock Goldsmith, Christopher M Grulke, Daniel T Chang, Raina D Brooks, Jeremy A Leonard, Martin B Phillips, Ethan D Hypes, Matthew J Fair, Rogelio Tornero-Velez and 3 more

Abstract read
In one paragraph

Article in PLoS computational biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. High-throughput PBTK models forExpert opinion on drug metabolism & toxicology · 2021
    Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Review
  17. Article
  18. Challenges Associated With Applying Physiologically Based Pharmacokinetic Modeling for Public Health Decision-Making.Toxicological sciences : an official journal of the Society of Toxicology · 2018
    Review
  19. Automated workflows for modelling chemical fate, kinetics and toxicity.Toxicology in vitro : an international journal published in association with BIBRA · 2017
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Jingtao LuOak Ridge Institute for Science and Education, Oak Ridge, Tennessee, United States of America.
Michael-Rock GoldsmithNational Exposure Research Laboratory, US-Environmental Protection Agency, Research Triangle Park, North Carolina, United States of America.
Christopher M GrulkeNational Exposure Research Laboratory, US-Environmental Protection Agency, Research Triangle Park, North Carolina, United States of America.
Daniel T ChangNational Exposure Research Laboratory, US-Environmental Protection Agency, Research Triangle Park, North Carolina, United States of America.
Raina D BrooksNational Exposure Research Laboratory, US-Environmental Protection Agency, Research Triangle Park, North Carolina, United States of America.
Jeremy A LeonardOak Ridge Institute for Science and Education, Oak Ridge, Tennessee, United States of America.
Martin B PhillipsOak Ridge Institute for Science and Education, Oak Ridge, Tennessee, United States of America.
Ethan D HypesNational Exposure Research Laboratory, US-Environmental Protection Agency, Research Triangle Park, North Carolina, United States of America.
Matthew J FairNational Exposure Research Laboratory, US-Environmental Protection Agency, Research Triangle Park, North Carolina, United States of America.
Rogelio Tornero-VelezNational Exposure Research Laboratory, US-Environmental Protection Agency, Research Triangle Park, North Carolina, United States of America.
Jeffre JohnsonNational Exposure Research Laboratory, US-Environmental Protection Agency, Las Vegas, Nevada, United States of America.
Curtis C DaryNational Exposure Research Laboratory, US-Environmental Protection Agency, Las Vegas, Nevada, United States of America.
Yu-Mei TanNational Exposure Research Laboratory, US-Environmental Protection Agency, Research Triangle Park, North Carolina, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Developing physiologically-based pharmacokinetic (PBPK) models for chemicals can be resource-intensive, as neither chemical-specific parameters nor in vivo pharmacokinetic data are easily available for model construction. Previously developed, well-parameterized, and thoroughly-vetted models can be a great resource for the construction of models pertaining to new chemicals. A PBPK knowledgebase was compiled and developed from existing PBPK-related articles and used to develop new models. From 2,039 PBPK-related articles published between 1977 and 2013, 307 unique chemicals were identified for use as the basis of our knowledgebase. Keywords related to species, gender, developmental stages, and organs were analyzed from the articles within the PBPK knowledgebase. A correlation matrix of the 307 chemicals in the PBPK knowledgebase was calculated based on pharmacokinetic-relevant molecular descriptors. Chemicals in the PBPK knowledgebase were ranked based on their correlation toward ethylbenzene and gefitinib. Next, multiple chemicals were selected to represent exact matches, close analogues, or non-analogues of the target case study chemicals. Parameters, equations, or experimental data relevant to existing models for these chemicals and their analogues were used to construct new models, and model predictions were compared to observed values. This compiled knowledgebase provides a chemical structure-based approach for identifying PBPK models relevant to other chemical entities. Using suitable correlation metrics, we demonstrated that models of chemical analogues in the PBPK knowledgebase can guide the construction of PBPK models for other chemicals.

Indexed as

Models, BiologicalPharmacokineticsAnimalsComputational BiologyHumansKnowledge BasesMicePharmaceutical PreparationsRatsSwinePharmaceutical Preparations

Identifiers

PMID26871706
PMCPMC4752336

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.