Evidence map›Paper›PMID 29663298›Full record

ArticleEnvironmental science and pollution research international2018

Development of QSAR model for predicting the inclusion constants of organic chemicals with α-cyclodextrin.

Mengbi Wei, Xianhai Yang, Peter Watson, Feifei Yang, Huihui Liu

Abstract read
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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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Solubility enhancement of mefenamic acid by inclusion complex with β-cyclodextrin:Journal of enzyme inhibition and medicinal chemistry · 2021
    Article
  3. Article
  4. 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

5 authors.

Mengbi WeiJiangsu Key Laboratory of Chemical Pollution Control and Resources Reuse, School of Environmental and Biological Engineering, Nanjing University of Science and Technology, Nanjing, 210094, Jiangsu Province, China.
Xianhai YangJiangsu Key Laboratory of Chemical Pollution Control and Resources Reuse, School of Environmental and Biological Engineering, Nanjing University of Science and Technology, Nanjing, 210094, Jiangsu Province, China. xhyang@njust.edu.cn.
Peter WatsonDepartment of Civil and Environmental Engineering, University of Connecticut, Storrs, CT, 06268, USA.
Feifei YangDepartment of Civil and Environmental Engineering, University of Connecticut, Storrs, CT, 06268, USA.
Huihui LiuJiangsu Key Laboratory of Chemical Pollution Control and Resources Reuse, School of Environmental and Biological Engineering, Nanjing University of Science and Technology, Nanjing, 210094, Jiangsu Province, China. hhliu@njust.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Solubility is a crucial limiting factor in pharmaceutical research and contaminated site remediation. Cyclodextrin, with its structure of hydrophilic exterior and hydrophobic cavity, has a potential ability to enhance the hydrophobic chemical's solubility through the formation of host-guest complex. The stability of host-guest complex is often quantified by the inclusion constant. In this study, the logarithm of 1:1 α-cyclodextrin inclusion constants (log K

Indexed as

alpha-CyclodextrinsHydrophobic and Hydrophilic InteractionsOrganic ChemicalsQuantitative Structure-Activity Relationshipalpha-cyclodextrinalpha-CyclodextrinsOrganic ChemicalsCyclodextrinInclusion constantOrganic chemicalsQuantitative structure–activity relationship model

Identifiers

PMID29663298

What OpenQuestion holds

Textmetadata
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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.