Evidence map›Paper›PMID 36151144›Full record

ArticleScientific data2022

Predicting skin permeability using HuskinDB.

Laura J Waters, Xin Ling Quah

Abstract read
In one paragraph

Article in Scientific data, 2022. 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. Review
  2. Article
  3. Design, synthesis, molecular docking study and molecular dynamics simulation of new coumarin-pyrimidine hybrid compounds having anticancer and antidiabetic activity.Medicinal chemistry research : an international journal for rapid communications on design and mechanisms of action of biologically active agents · 2023
    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.

Laura J WatersSchool of Applied Sciences, University of Huddersfield, Queensgate, Huddersfield, HD1 3DH, UK. l.waters@hud.ac.uk.ORCID 0000-0001-9172-0828
Xin Ling QuahSchool of Applied Sciences, University of Huddersfield, Queensgate, Huddersfield, HD1 3DH, UK.

Funding

University of Huddersfield UoH00122
6 · The paper itself

Abstract

A freely accessible database has recently been released that provides measurements available in the literature on human skin permeation data, known as the 'Human Skin Database - HuskinDB'. Although this database is extremely useful for sourcing permeation data to help with toxicity and efficacy determination, it cannot be beneficial when wishing to consider unlisted, or novel compounds. This study undertakes analysis of the data from within HuskinDB to create a model that predicts permeation for any compound (within the range of properties used to create the model). Using permeability coefficient (K

Indexed as

SkinSkin AbsorptionDatabases, FactualHumansPermeability

Identifiers

PMID36151144
PMCPMC9508232

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.