Evidence map›Paper›PMID 28699014›Full record

ArticleEnvironmental science and pollution research international2017

Predictive models for identifying the binding activity of structurally diverse chemicals to human pregnane X receptor.

Cen Yin, Xianhai Yang, Mengbi Wei, Huihui Liu

Abstract read
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In one paragraph

Article in Environmental science and pollution research international, 2017. 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
1.2field-weighted citation impact, top 19% 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

3 citing papers in PubMed, 12 citations in OpenAlex.

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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

4 authors at 3 institutions in 1 country.

Cen YinJiangsu Key Laboratory of Chemical Pollution Control and Resources Reuse, School of Environmental and Biological Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu Province, 210094, China.
Xianhai YangMinistry of Environmental Protection, Nanjing Institute of Environmental Sciences, Jiang-Wang-Miao Street, Nanjing, 210042, China. xhyang@nies.org.
Mengbi WeiJiangsu Key Laboratory of Chemical Pollution Control and Resources Reuse, School of Environmental and Biological Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu Province, 210094, China.
Huihui LiuJiangsu Key Laboratory of Chemical Pollution Control and Resources Reuse, School of Environmental and Biological Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu Province, 210094, China. hhliu@njust.edu.cn.
Nanjing University of Science and Technology · CNNanjing Institute of Environmental Sciences · CNState Key Laboratory of Pollution Control and Resource Reuse · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Toxic chemicals entered into human body would undergo a series of metabolism, transport and excretion, and the key roles played in there processes were metabolizing enzymes, which was regulated by the pregnane X receptor (PXR). However, some chemicals in environment could activate or antagonize human pregnane X receptor, thereby leading to a disturbance of normal physiological systems. In this study, based on a larger number of 2724 structurally diverse chemicals, we developed qualitative classification models by the k-nearest neighbor method. Moreover, the logarithm of 20 and 50% effective concentrations (log EC

Indexed as

Models, ChemicalHumansPregnane X ReceptorProtein BindingQuantitative Structure-Activity RelationshipReceptors, SteroidSensitivity and SpecificityPregnane X ReceptorReceptors, SteroidClassification modelLogarithm of 20% effective concentration (log EC 20)Logarithm of 50% effective concentration (log EC 50)Pregnane X receptor (PXR)Quantitative structure-activity relationship (QSAR)

Identifiers

PMID28699014
OpenAlexW2735296195

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.