Evidence map›Paper›PMID 22983742›Full record

ArticleApplied biochemistry and biotechnology2012

Cunninghamella as a microbiological model for metabolism of histamine H(3) receptor antagonist 1-[3-(4-tert-butylphenoxy)propyl]piperidine.

Elżbieta Pękala, Paulina Kubowicz, Dorota Łażewska

Open access · hybridAbstract readComparative Study
In one paragraph

Article in Applied biochemistry and biotechnology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.6field-weighted citation impact, top 12% 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

4 citing papers in PubMed, 16 citations in OpenAlex.

  1. Review
  2. The Callus ofMolecules (Basel, Switzerland) · 2020
    Article
  3. Article
  4. 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

3 authors at 1 institution in 1 country.

Elżbieta PękalaDepartment of Technology and Biotechnology of Drugs, Faculty of Pharmacy, Jagiellonian University Medical College, Cracow, Poland. elzbieta.pekala@uj.edu.pl
Paulina Kubowicz
Dorota Łażewska
Jagiellonian University · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of the study was to analyze the ability of the microorganism Cunninghamella to carry out the biotransformation of 1-[3-(4-tert-butylphenoxy)propyl]piperidine (DL76) and to compare the obtained results with in silico models. Biotransformation was carried out by three strains of filamentous fungus: Cunninghamella echinulata, Cunninghamella blakesleeana, and Cunninghamella elegans. Most probable direction of DL76 metabolic transition was the oxidation of the methyl group in the tert-butyl moiety leading to the formation of the metabolite with I° alcohol properties. This kind of reaction was conducted by all three strains tested. However, only in the case of C. blakesleeana that biotransformation product had a structure of carboxylic acid. CYP2C19 was identified by Metasite software to be the isoform of major importance in the oxidation process in the tert-butyl moiety of DL76. In silico data coincide with the results of experiments conducted in vitro. It was confirmed that Cunninghamella fungi are a very good model to study the metabolism of xenobiotics. The computational methods and microbial models of metabolism can be used as useful tools in early ADME-Tox assays in the process of developing new drug candidates.

Indexed as

BiotransformationCunninghamellaHistamine AntagonistsModels, BiologicalMolecular StructureOxidation-ReductionPiperidines1-(3-(4-tert-butylphenoxy)propyl)-4-piperidino-piperidineHistamine AntagonistsPiperidines

Identifiers

PMID22983742
PMCPMC3501165
OpenAlexW2091652079

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.