Evidence map›Paper›PMID 34558019›Full record

ArticleJournal of molecular modeling2021

A partial least squares and artificial neural network study for a series of arylpiperazines as antidepressant agents.

Genisson R Santos, Laise P A Chiari, Aldineia P da Silva, Célio F Lipinski, Aline A Oliveira, Kathia M Honorio, Alexsandro Gama de Sousa, Albérico B F da Silva

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of molecular modeling, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

8 authors.

Genisson R SantosDepartamento de Química E Física Molecular, Instituto de Química de São Carlos, Universidade de São Paulo, C.P 780, São Carlos, SP, 13560-970, Brazil.
Laise P A ChiariDepartamento de Química E Física Molecular, Instituto de Química de São Carlos, Universidade de São Paulo, C.P 780, São Carlos, SP, 13560-970, Brazil.
Aldineia P da SilvaDepartamento de Química E Física Molecular, Instituto de Química de São Carlos, Universidade de São Paulo, C.P 780, São Carlos, SP, 13560-970, Brazil.
Célio F LipinskiDepartamento de Química E Física Molecular, Instituto de Química de São Carlos, Universidade de São Paulo, C.P 780, São Carlos, SP, 13560-970, Brazil.
Aline A OliveiraDepartamento de Química E Física Molecular, Instituto de Química de São Carlos, Universidade de São Paulo, C.P 780, São Carlos, SP, 13560-970, Brazil.
Kathia M HonorioEscola de Artes, Ciências e Humanidades, Universidade de São Paulo, São Paulo, C.P 03828-000, Brazil.
Alexsandro Gama de SousaUniversidade Estadual Do Sudoeste da Bahia (UESB), Campus Itapetinga, Praça Primavera, 40, Itapetinga, C.PBahia, 45700-000, Brazil.
Albérico B F da SilvaDepartamento de Química E Física Molecular, Instituto de Química de São Carlos, Universidade de São Paulo, C.P 780, São Carlos, SP, 13560-970, Brazil. alberico@iqsc.usp.br.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Depression affects more than 300 million people around the world and can lead to suicide. About 30% of patients on treatment for depression drop out of therapy due to side effects or to latency time associated to therapeutic effects. 5-HT receptor, known as serotonin, is considered the key in depression treatment. Arylpiperazine compounds are responsible for several pharmacological effects and are considered as ligands in serotonin receptors, such as the subtype 5-HT

Indexed as

Quantitative Structure-Activity RelationshipAlgorithmsAntidepressive AgentsHumansLeast-Squares AnalysisNeural Networks, ComputerPiperazinesReceptor, Serotonin, 5-HT2AReproducibility of ResultsAntidepressive AgentsPiperazinesReceptor, Serotonin, 5-HT2A5-HT2a receptorANNDepressionDrug designPLS

Identifiers

PMID34558019

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.