Evidence map›Paper›PMID 28971260›Full record

ArticleJournal of molecular modeling2017

New consensus multivariate models based on PLS and ANN studies of sigma-1 receptor antagonists.

Aline A Oliveira, Célio F Lipinski, Estevão B Pereira, Kathia M Honorio, Patrícia R Oliveira, Karen C Weber, Roseli A F Romero, Alexsandro G de Sousa, Albérico B F da Silva

Open access · greenAbstract read
PubMed Publisher
In one paragraph

Article in Journal of molecular modeling, 2017. 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
0.3field-weighted citation impact, top 39% 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

1 citing paper in PubMed, 8 citations in OpenAlex.

  1. 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

9 authors at 3 institutions in 1 country.

Aline A OliveiraInstituto de Química de São Carlos, Universidade de São Paulo, Av. Trabalhador São-Carlense 400, São Carlos, SP, 13560-970, Brazil.
Célio F LipinskiInstituto de Química de São Carlos, Universidade de São Paulo, Av. Trabalhador São-Carlense 400, São Carlos, SP, 13560-970, Brazil.
Estevão B PereiraInstituto de Química de São Carlos, Universidade de São Paulo, Av. Trabalhador São-Carlense 400, São Carlos, SP, 13560-970, Brazil.
Kathia M HonorioEscola de Artes, Ciências e Humanidades, Universidade de São Paulo, Av. Arlindo Bettio, 1000, São Paulo, SP, 03828-000, Brazil.
Patrícia R OliveiraEscola de Artes, Ciências e Humanidades, Universidade de São Paulo, Av. Arlindo Bettio, 1000, São Paulo, SP, 03828-000, Brazil.
Karen C WeberCentro de Ciências Exatas e da Natureza, Universidade Federal da Paraíba, Cidade Universitária, João Pessoa, PB, 58051-970, Brazil.
Roseli A F RomeroInstituto de Ciências Matemáticas e de Computação, Universidade de São Paulo, Av. Trabalhador São-Carlense 400, São Carlos, SP, 13560-970, Brazil.
Alexsandro G de SousaUniversidade Estadual do Sudoeste da Bahia, Rodovia BR 415, Km 03, S/N, Itapetinga, BA, 45700-000, Brazil.
Albérico B F da SilvaInstituto de Química de São Carlos, Universidade de São Paulo, Av. Trabalhador São-Carlense 400, São Carlos, SP, 13560-970, Brazil. alberico@iqsc.usp.br.
Universidade de São Paulo · BRSouthwest Bahia State University · BRUniversidade Federal da Paraíba · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The treatment of neuropathic pain is very complex and there are few drugs approved for this purpose. Among the studied compounds in the literature, sigma-1 receptor antagonists have shown to be promising. In order to develop QSAR studies applied to the compounds of 1-arylpyrazole derivatives, multivariate analyses have been performed in this work using partial least square (PLS) and artificial neural network (ANN) methods. A PLS model has been obtained and validated with 45 compounds in the training set and 13 compounds in the test set (r

Indexed as

HumansLeast-Squares AnalysisNeuralgiaNeural Networks, ComputerPyrazolesQuantitative Structure-Activity RelationshipReceptors, sigmaSigma-1 ReceptorpyrazolePyrazolesReceptors, sigmaSigma-1 Receptor1-arylpyrazoleConsensus modelingMLP-ANNPLSQSARSigma-1 receptor

Identifiers

PMID28971260
OpenAlexW2762249599

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.