Evidence map›Paper›PMID 23363487›Full record

ArticleMolecular pharmaceutics2013

Predicting intrinsic clearance for drugs and drug candidates metabolized by aldehyde oxidase.

Jeffrey P Jones, Kenneth R Korzekwa

Open access · greenAbstract read
In one paragraph

Article in Molecular pharmaceutics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
5.2field-weighted citation impact, top 5% of its field
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

18 citing papers in PubMed, 48 citations in OpenAlex.

  1. Article
  2. Article
  3. Machine Learning in Early Prediction of Metabolism of Drugs.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  4. Article
  5. Review
  6. Time Course of Aldehyde Oxidase and Why It Is Nonlinear.Drug metabolism and disposition: the biological fate of chemicals · 2019
    Article
  7. Article
  8. Fast Methods for Prediction of Aldehyde Oxidase-Mediated Site-of-Metabolism.Computational and structural biotechnology journal · 2019
    Article
  9. Article
  10. Article
  11. Article
  12. Structure-metabolism relationships inProceedings of the National Academy of Sciences of the United States of America · 2017
    Article
  13. Article
  14. Article
  15. A novel reaction mediated by human aldehyde oxidase: amide hydrolysis of GDC-0834.Drug metabolism and disposition: the biological fate of chemicals · 2015
    Article
  16. Article
  17. Article
  18. Evaluation of rhesus monkey and guinea pig hepatic cytosol fractions as models for human aldehyde oxidase.Drug metabolism and disposition: the biological fate of chemicals · 2013
    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

2 authors at 1 institution in 1 country.

Jeffrey P JonesDepartment of Chemistry, Washington State University, Pullman, Washington 99163, USA. jpj@wsu.edu
Kenneth R Korzekwa
Washington State University · US

Funding

Understanding the Metabolic Impact of Aldehyde Oxidase on New Drug DesignR01GM100874 · NIGMS · WASHINGTON STATE UNIVERSITY · PI JONES, JEFFREY P · 2012 to 2019
$2.6M
NIGMS NIH HHS GM100874NIGMS NIH HHS R01 GM100874
6 · The paper itself

Abstract

Metabolism by aldehyde oxidase (AO) has been responsible for a number of drug failures in clinical trials. The main reason is the clearance values for drugs metabolized by AO are underestimated by allometric scaling from preclinical species. Furthermore, in vitro human data also underestimates clearance. We have developed the first in silico models to predict both in vitro and in vivo human intrinsic clearance for 8 drugs with just two chemical descriptors. These models explain a large amount of the variance in the data using two computational estimates of the electronic and steric features of the reaction. The in vivo computational models for human metabolism are better than in vitro preclinical animal testing at predicting human intrinsic clearance. Thus, it appears that AO is amenable to computational prediction of rates, which may be used to guide drug discovery, and predict pharmacokinetics for clinical trials.

Indexed as

Drug DesignAldehyde OxidaseCoenzymesComputer SimulationDrug Evaluation, PreclinicalHumansLiverMetalloproteinsMicrosomes, LiverModels, ChemicalMolybdenum CofactorsOxygenPharmacokineticsPteridinesRegression AnalysisSoftwareAldehyde OxidaseCoenzymesMetalloproteinsMolybdenum CofactorsmolybdopterinOxygenPteridines

Identifiers

PMID23363487
PMCPMC3615103
OpenAlexW2048949364

What OpenQuestion holds

Textmetadata
LicenceTDM
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.