Evidence map›Paper›PMID 33765384›Full record

ReviewJournal of medicinal chemistry2021

Successful and Unsuccessful Prediction of Human Hepatic Clearance for Lead Optimization.

Jasleen K Sodhi, Leslie Z Benet

Abstract readReview
In one paragraph

Review in Journal of medicinal chemistry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
–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

24 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Response to the commentary on "are all measures of liver KpEuropean journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences · 2025
    Article
  6. Review
  7. In vitro hydrolysis of areca nut xenobiotics in human liver.Drug metabolism and pharmacokinetics · 2025
    Article
  8. Article
  9. Review
  10. Article
  11. Commentary: Pharmacokinetic Theory Must Consider Published Experimental Data.Drug metabolism and disposition: the biological fate of chemicals · 2024
    Article
  12. Article
  13. Article
  14. EvaluatingFrontiers in pharmacology · 2024
    Review
  15. Review
  16. Article
  17. Review
  18. Article
  19. Review
  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

2 authors.

Jasleen K SodhiDepartment of Bioengineering and Therapeutic Sciences, Schools of Pharmacy and Medicine, University of California San Francisco, San Francisco, California 94143, United States.
Leslie Z BenetDepartment of Bioengineering and Therapeutic Sciences, Schools of Pharmacy and Medicine, University of California San Francisco, San Francisco, California 94143, United States.ORCID 0000-0002-9678-2371

Funding

UCSF Liver Core CenterP30DK026743 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Jennifer Y. Chen · 1986 to 2026
$30.7M
Maximizing Opportunities for Research Excellence - Evaluation Training SupplementR25GM056847 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI DUNCAN, D'ANNE S., SELLO, JASON K · 1998 to 2023
$14.1M
NIDDK NIH HHS P30 DK026743NIGMS NIH HHS R25 GM056847
6 · The paper itself

Abstract

Development of new chemical entities is costly, time-consuming, and has a low success rate. Accurate prediction of pharmacokinetic properties is critical to progress compounds with favorable drug-like characteristics in lead optimization. Of particular importance is the prediction of hepatic clearance, which determines drug exposure and contributes to projection of dose, half-life, and bioavailability. The most commonly employed methodology to predict hepatic clearance is termed

Indexed as

HepatocytesHumansKineticsLiverMetabolic Clearance RateMicrosomes, LiverModels, BiologicalPharmaceutical PreparationsPharmacokineticsPharmaceutical Preparations

Identifiers

PMID33765384
PMCPMC8504179

What OpenQuestion holds

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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.