Evidence map›Paper›PMID 19477134›Full record

ArticleBioorganic & medicinal chemistry2009

QSAR study on maximal inhibition (Imax) of quaternary ammonium antagonists for S-(-)-nicotine-evoked dopamine release from dopaminergic nerve terminals in rat striatum.

Fang Zheng, Matthew J McConnell, Chang-Guo Zhan, Linda P Dwoskin, Peter A Crooks

Abstract read
In one paragraph

Article in Bioorganic & medicinal chemistry, 2009. 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. Wide-Antimicrobial Spectrum of Picolinium Salts.Molecules (Basel, Switzerland) · 2020
    Article
  2. Article
  3. Article
  4. Nicotinic receptor antagonists as treatments for nicotine abuse.Advances in pharmacology (San Diego, Calif.) · 2014
    Review
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.

Fang ZhengDepartment of Pharmaceutical Sciences, College of Pharmacy, University of Kentucky, Lexington, KY 40536, United States.
Matthew J McConnell
Chang-Guo Zhan
Linda P Dwoskin
Peter A Crooks

Funding

Developmemt of Novel Treatments for Nicotine AddictionU19DA017548 · NIDA · UNIVERSITY OF KENTUCKY · PI DWOSKIN, LINDA P · 2003 to 2007
$6.0M
NIDA NIH HHS U19 DA017548NIDA NIH HHS U19DA017548
6 · The paper itself

Abstract

Maximal inhibition (I(max)) of the agonist effect is an important pharmacological property of inhibitors that interact with multiple receptor subtypes that are activated by the same agonist and which elicit the same functional response. This report represents the first QSAR study on a set of 66 mono- and bis-quaternary ammonium salts that act as antagonists at neuronal nicotinic acetylcholine receptors mediating nicotine-evoked dopamine release, conducted using multi-linear regression (MLR) and neural network (NN) analysis with the maximal inhibition (I(max)) values of the antagonists as target values. The statistical results for the generated MLR model were: r(2)=0.89, rmsd=9.01, q(2)=0.83 and loormsd=11.1; the statistical results for the generated NN model were: r(2)=0.89, rmsd=8.98, q(2)=0.83 and loormsd=11.2. The maximal inhibition values of the compounds exhibited a good correlation with the predictions made by the QSAR models developed, which provide a basis for rationalizing selection of compounds for synthesis in the discovery of effective and selective second generation inhibitors of nAChRs mediating nicotine-evoked dopamine release.

Indexed as

Quantitative Structure-Activity RelationshipAnimalsCorpus StriatumDopamineLinear ModelsModels, BiologicalMolecular StructureNeural Networks, ComputerNicotineNicotinic AntagonistsQuaternary Ammonium CompoundsRatsReceptors, NicotinicDopamineNicotineNicotinic AntagonistsQuaternary Ammonium CompoundsReceptors, Nicotinic

Identifiers

PMID19477134
PMCPMC3914672

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Registered trials

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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.