Evidence map›Paper›PMID 42113629›Full record

ArticleSTAR protocols2026

Protocol for analyzing potential targets of environmental pollutants in human diseases using network toxicology and molecular docking.

Yanggang Hong, Jiajun Li, Jingxuan Zhou, Deqi Wang, Feng Chen, Yuze Mi, Yi Wang

Abstract read
In one paragraph

Article in STAR protocols, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Yanggang HongThe Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China; Wenzhou Medical University, Wenzhou, Zhejiang, China. Electronic address: sun160414@icloud.com.
Jiajun LiThe Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China; Wenzhou Medical University, Wenzhou, Zhejiang, China.
Jingxuan ZhouSchool of Urban Planning and Design, Peking University Shenzhen Graduate School, Shenzhen, China.
Deqi WangWenzhou Medical University, Wenzhou, Zhejiang, China.
Feng ChenThe Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China; Wenzhou Medical University, Wenzhou, Zhejiang, China.
Yuze MiWenzhou Medical University, Wenzhou, Zhejiang, China.
Yi WangWenzhou Medical University, Wenzhou, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Here, we present a computational workflow for identifying and analyzing the molecular mechanisms through which environmental pollutants may contribute to human diseases. We describe steps for integrating network toxicology and molecular docking to enable systematic prediction of pollutant-target-disease relationships and structure-based plausibility assessment of molecular interactions. This protocol provides a reproducible and scalable framework applicable to diverse environmental compounds and disease models.

Indexed as

Environmental PollutantsMolecular Docking SimulationToxicologyHumansEnvironmental PollutantsChemistryComputer sciencesEnvironmental sciencesGene ExpressionSystems biology

Identifiers

PMID42113629
PMCPMC13194618

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.