Evidence map›Paper›PMID 30350137›Full record

ArticleEnvironmental science and pollution research international2018

QSAR model for predicting the toxicity of organic compounds to fathead minnow.

Qingzhu Jia, Yunpeng Zhao, Fangyou Yan, Qiang Wang

Abstract read
PubMed Publisher
In one paragraph

Article in Environmental science and pollution research international, 2018. 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. Article
  2. Article
  3. Norm index-based QSPR model for describing the n-octanol/water partition coefficients of organics.Environmental science and pollution research international · 2020
    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

4 authors.

Qingzhu JiaSchool of Marine and Environmental Science, Tianjin University of Science and Technology, 13 St. 29, TEDA, 300457, Tianjin, People's Republic of China.
Yunpeng ZhaoSchool of Marine and Environmental Science, Tianjin University of Science and Technology, 13 St. 29, TEDA, 300457, Tianjin, People's Republic of China.
Fangyou YanSchool of Chemical Engineering and Material Science, Tianjin University of Science and Technology, 13 St. 29, TEDA, 300457, Tianjin, People's Republic of China.
Qiang WangSchool of Chemical Engineering and Material Science, Tianjin University of Science and Technology, 13 St. 29, TEDA, 300457, Tianjin, People's Republic of China. wang_q@tust.edu.cn.ORCID http://orcid.org/0000-0003-4385-0999

Funding

National Natural Science Foundation of China 21676203National Natural Science Foundation of China 21808167
6 · The paper itself

Abstract

In this work, a new norm descriptor is proposed based on atomic properties. A quantitative structure-activity relationship (QSAR) model for predicting the toxicity of organic compounds to fathead minnow is further developed by norm descriptors. Results indicate that this new model based on the norm descriptors has satisfactory predictive results with the squared correlation coefficient (R

Indexed as

Organic ChemicalsQuantitative Structure-Activity RelationshipWater Pollutants, ChemicalAnimalsCyprinidaeLethal Dose 50PrognosisReproducibility of ResultsRisk AssessmentOrganic ChemicalsWater Pollutants, ChemicalFathead minnowNorm indexQSARRisk assessmentToxicity

Identifiers

PMID30350137

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.