Evidence map›Paper›PMID 29219051›Full record

ReviewCurrent drug metabolism2018

Development and Uses of Offline and Web-Searchable Metabolism Databases - The Case of Benzo[a]pyrene.

Slobodan P Rendic, Frederick P Guengerich

Abstract readReview
In one paragraph

Review in Current drug metabolism, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

2 authors.

Slobodan P RendicHaulikova 6, Zagreb, Croatia.
Frederick P GuengerichDepartment of Biochemistry, Vanderbilt University School of Medicine, Nashville, Tennessee 37232-0146, United States.

Funding

Metabolism of Carcinogens and Drugs by Human P450sR01GM118122 · NIGMS · VANDERBILT UNIVERSITY · PI GUENGERICH, F PETER · 2016 to 2023
$3.3M
NIGMS NIH HHS R01 GM118122
6 · The paper itself

Abstract

backgroundThe present work describes development of offline and web-searchable metabolism databases for drugs, other chemicals, and physiological compounds using human and model species, prompted by the large amount of data published after year 1990. The intent was to provide a rapid and accurate approach to published data to be applied both in science and to assist therapy.

methodsSearches for the data were done using the Pub Med database, accessing the Medline database of references and abstracts. In addition, data presented at scientific conferences (e.g., ISSX conferences) are included covering the publishing period beginning with the year 1976.

resultsApplication of the data is illustrated by the properties of benzo[a]pyrene (B[a]P) and its metabolites. Analysis show higher activity of P450 1A1 for activation of the (-)- isomer of trans-B[a]P-7,8-diol, while P4501B1 exerts higher activity for the (+)- isomer. P450 1A2 showed equally low activity in the metabolic activation of both isomers.

conclusionThe information collected in the databases is applicable in prediction of metabolic drug-drug and/or drug-chemical interactions in clinical and environmental studies. The data on the metabolism of searched compound (exemplified by benzo[a]pyrene and its metabolites) also indicate toxicological properties of the products of specific reactions. The offline and web-searchable databases had wide range of applications (e.g. computer assisted drug design and development, optimization of clinical therapy, toxicological applications) and adjustment in everyday life styles.

Indexed as

AnimalsBenzo(a)pyreneCytochrome P-450 CYP1A1Cytochrome P-450 CYP1B1Databases, FactualHumansBenzo(a)pyreneCytochrome P-450 CYP1A1Cytochrome P-450 CYP1B1benzo[a]pyreneCYPendobiotics.metabolic activationmetabolism databasesP450transportersweb-databasexenobiotics

Identifiers

PMID29219051
PMCPMC5886801

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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.