Evidence map›Paper›PMID 35059566›Full record

ArticleACS pharmacology & translational science2022

Identifying Molecular Fragments That Drive 7-Dehydrocholesterol Elevation.

Dario Ghersi, Thiago C Genaro-Mattos

Open access · greenAbstract read
In one paragraph

Article in ACS pharmacology & translational science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 36% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 2 citations in OpenAlex.

  1. Pooled it
  2. 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 2 institutions in 1 country.

Dario GhersiSchool of Interdisciplinary Informatics, University of Nebraska at Omaha, Omaha, Nebraska 68182, United States.
Thiago C Genaro-MattosMunroe-Meyer Institute for Genetics and Rehabilitation, University of Nebraska Medical Center, Omaha, Nebraska 68105, United States.ORCID https://orcid.org/0000-0001-9377-2285
Nebraska Medical Center · USUniversity of Nebraska at Omaha · US

Funding

Neocortical Transcriptome Changes in SchizophreniaR01MH067234 · NIMH · VANDERBILT UNIVERSITY · PI MIRNICS, KAROLY · 2003 to 2021
$4.7M
Vulnerability of DHCR7+/- mutation carriers to aripiprazole and trazodone treatmentR01MH110636 · NIMH · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI MIRNICS, KAROLY, PORTER, NED ALLEN · 2017 to 2021
$2.7M
NIMH NIH HHS R01 MH067234NIMH NIH HHS R01 MH110636
6 · The paper itself

Abstract

Medications having the unwanted side effect of inhibiting 7-dehydrocholesterol reductase (DHCR7), one of the last enzymes in the cholesterol biosynthesis pathway, account for about 300 million yearly prescriptions in the United States. Many of these drugs are currently prescribed to pregnant women. Many DHCR7-inhibiting medications share chemical similarities, which can be the active substructure responsible for the medication affinity to the enzyme. This work highlights a computational strategy to identify enriched fragments in a set of DHCR7-inhibiting medications. The computational approach used here involves systematic fragmentation of molecules using the molBLOCKS tool, followed by enrichment analysis. The results of this approach highlight putative pharmacophores that might be responsible for the DHCR7-inhibiting activity of some of these medications. The identification of DHCR7-inhibiting substructures is an important step toward knowledge-based drug development and can improve the neurodevelopmental safety of medications.

Identifiers

PMID35059566
PMCPMC8762746
OpenAlexW4200351965

What OpenQuestion holds

Textmetadata
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.