Evidence map›Paper›PMID 36538346›Full record

ArticleMolecular pharmaceutics2023

Prediction of the Contribution Ratio of a Target Metabolic Enzyme to Clearance from Chemical Structure Information.

Reiko Watanabe, Toshio Kawata, Shinya Ueda, Takumi Shinbo, Mitsuo Higashimori, Yayoi Natsume-Kitatani, Kenji Mizuguchi

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Molecular pharmaceutics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. ADMET-Guided Docking and GROMACS Molecular Dynamics ofPharmaceuticals (Basel, Switzerland) · 2025
    Article
  2. Review
  3. Review
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

7 authors.

Reiko WatanabeArtificial Intelligence Center for Health and Biomedical Research, National Institutes of Biomedical Innovation, Health and Nutrition, Osaka 567-0085, Japan.ORCID 0000-0001-9359-8731
Toshio KawataScience Enablement Department, Data Science & Innovation Division, Research & Development, AstraZeneca K.K., Osaka 530-0011, Japan.
Shinya UedaScience Enablement Department, Data Science & Innovation Division, Research & Development, AstraZeneca K.K., Osaka 530-0011, Japan.
Takumi ShinboScience Enablement Department, Data Science & Innovation Division, Research & Development, AstraZeneca K.K., Osaka 530-0011, Japan.
Mitsuo HigashimoriScience Enablement Department, Data Science & Innovation Division, Research & Development, AstraZeneca K.K., Osaka 530-0011, Japan.
Yayoi Natsume-KitataniArtificial Intelligence Center for Health and Biomedical Research, National Institutes of Biomedical Innovation, Health and Nutrition, Osaka 567-0085, Japan.
Kenji MizuguchiArtificial Intelligence Center for Health and Biomedical Research, National Institutes of Biomedical Innovation, Health and Nutrition, Osaka 567-0085, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The contribution ratio of metabolic enzymes such as cytochrome P450 to

Indexed as

Cytochrome P-450 CYP3ACytochrome P-450 Enzyme SystemArea Under CurveDrug DiscoveryDrug InteractionsCytochrome P-450 CYP3ACytochrome P-450 Enzyme SystemCYP3A4drug−drug interactionfmin silico predictionpharmacokinetics

Identifiers

PMID36538346
PMCPMC9812024

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.