Evidence map›Paper›PMID 40761392›Full record

ArticleFrontiers in pharmacology2025

Marília Cecília da Silva, Jéssika de Oliveira Viana, Tayná Rodrigues Olegário, Jayne Maria Sabino, Euzébio Guimarães Barbosa, Elton José Ferreira Chaves, Gerd Bruno Rocha, Claudio Gabriel Lima-Junior, Karen Cacilda Weber

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 2025. 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. Article
  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

9 authors.

Marília Cecília da SilvaComputational Quantum Chemistry Laboratory, Department of Chemistry, Federal University of Paraíba, João Pessoa, Brazil.
Jéssika de Oliveira VianaComputational Quantum Chemistry Laboratory, Department of Chemistry, Federal University of Paraíba, João Pessoa, Brazil.
Tayná Rodrigues OlegárioMedicinal Organic Synthesis Laboratory of Paraíba (LASOM-PB), Department of Chemistry, Federal University of Paraíba, João Pessoa, Brazil.
Jayne Maria SabinoMedicinal Organic Synthesis Laboratory of Paraíba (LASOM-PB), Department of Chemistry, Federal University of Paraíba, João Pessoa, Brazil.
Euzébio Guimarães BarbosaComputational Pharmaceutical Chemistry Laboratory, Faculty of Pharmacy, Federal University of Rio Grande do Norte, Natal, Brazil.
Elton José Ferreira ChavesComputational Quantum Chemistry Laboratory, Department of Chemistry, Federal University of Paraíba, João Pessoa, Brazil.
Gerd Bruno RochaComputational Quantum Chemistry Laboratory, Department of Chemistry, Federal University of Paraíba, João Pessoa, Brazil.
Claudio Gabriel Lima-JuniorMedicinal Organic Synthesis Laboratory of Paraíba (LASOM-PB), Department of Chemistry, Federal University of Paraíba, João Pessoa, Brazil.
Karen Cacilda WeberComputational Quantum Chemistry Laboratory, Department of Chemistry, Federal University of Paraíba, João Pessoa, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Leishmaniasis remains a major neglected tropical disease, and new therapeutic strategies are urgently needed. This study aimed to identify the molecular target of 2-aryl-quinoline-4-carboxylic acid derivatives and assess their pharmacokinetic profiles. Methods: An integrated Results: IVS highlighted Discussion: These results support the potential of the 2-aryl-quinoline-4-carboxylic acid scaffold as a basis for the development of novel

Indexed as

ADMET propertiesinverse virtual screeningmolecular dockingmolecular dynamicssimilarity search

Identifiers

PMID40761392
PMCPMC12319028

What OpenQuestion holds

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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.