Evidence map›Paper›PMID 35897792›Full record

ArticleInternational journal of molecular sciences2022

Identification of Potential Insect Growth Inhibitor against

Glauber V Da Costa, Moysés F A Neto, Alicia K P Da Silva, Ester M F De Sá, Luanne C F Cancela, Jeanina S Vega, Cássio M Lobato, Juliana P Zuliani, José M Espejo-Román, Joaquín M Campos and 2 more

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 23% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

12 authors at 4 institutions in 2 countries.

Glauber V Da CostaGraduate Program in Network in Pharmaceutical Innovation, Federal University of Amapá, Macapá 68902-280, AP, Brazil.ORCID 0000-0003-4182-376X
Moysés F A NetoLaboratory Molecular Modeling, State University of Feira de Santana, Feira de Santana 44036-900, BA, Brazil.
Alicia K P Da SilvaLaboratory of Biotechnology in Natural Products, Department of Biological and Health Sciences, Federal University of Amapá, Macapá 68902-280, AP, Brazil.
Ester M F De SáLaboratory of Biotechnology in Natural Products, Department of Biological and Health Sciences, Federal University of Amapá, Macapá 68902-280, AP, Brazil.
Luanne C F CancelaLaboratory of Biotechnology in Natural Products, Department of Biological and Health Sciences, Federal University of Amapá, Macapá 68902-280, AP, Brazil.
Jeanina S VegaLaboratory of Biotechnology in Natural Products, Department of Biological and Health Sciences, Federal University of Amapá, Macapá 68902-280, AP, Brazil.
Cássio M LobatoLaboratory of Modeling and Computational Chemistry, Department of Biological and Health Sciences, Federal University of Amapá, Macapá 68902-280, AP, Brazil.
Juliana P ZulianiLaboratory Cellular Immunology Applied to Health, Oswaldo Cruz Foundation, FIOCRUZ Rondônia, Porto Velho 78912-000, RO, Brazil.ORCID 0000-0001-9221-7749
José M Espejo-RománDepartment of Pharmaceutical and Organic Chemistry, Faculty of Pharmacy, Institute of Biosanitary Research ibs, University of Granada, 18071 Granada, Spain.ORCID 0000-0002-3231-1095
Joaquín M CamposDepartment of Pharmaceutical and Organic Chemistry, Faculty of Pharmacy, Institute of Biosanitary Research ibs, University of Granada, 18071 Granada, Spain.ORCID 0000-0002-9035-8123
Franco H A LeiteLaboratory Molecular Modeling, State University of Feira de Santana, Feira de Santana 44036-900, BA, Brazil.
Cleydson B R SantosGraduate Program in Network in Pharmaceutical Innovation, Federal University of Amapá, Macapá 68902-280, AP, Brazil.ORCID 0000-0002-0271-335X
Universidade Federal do Amapá · BRUniversidad de Granada · ESUniversidade Estadual de Feira de Santana · BRFundação Oswaldo Cruz · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aedes aegypti is the main vector that transmits viral diseases such as dengue, hemorrhagic dengue, urban yellow fever, zika, and chikungunya. Worldwide, many cases of dengue have been reported in recent years, showing significant growth. The best way to manage diseases transmitted by Aedes aegypti is to control the vector with insecticides, which have already been shown to be toxic to humans; moreover, insects have developed resistance. Thus, the development of new insecticides is considered an emergency. One way to achieve this goal is to apply computational methods based on ligands and target information. In this study, sixteen compounds with acceptable insecticidal activities, with 100% larvicidal activity at low concentrations (2.0 to 0.001 mg·L−1), were selected from the literature. These compounds were used to build up and validate pharmacophore models. Pharmacophore model 6 (AUC = 0.78; BEDROC = 0.6) was used to filter 4793 compounds from the subset of lead-like compounds from the ZINC database; 4142 compounds (dG < 0 kcal/mol) were then aligned to the active site of the juvenile hormone receptor Aedes aegypti (PDB: 5V13), 2240 compounds (LE < −0.40 kcal/mol) were prioritized for molecular docking from the construction of a chitin deacetylase model of Aedes aegypti by the homology modeling of the Bombyx mori species (PDB: 5ZNT), which aligned 1959 compounds (dG < 0 kcal/mol), and 20 compounds (LE < −0.4 kcal/mol) were predicted for pharmacokinetic and toxicological prediction in silico (Preadmet, SwissADMET, and eMolTox programs). Finally, the theoretical routes of compounds M01, M02, M03, M04, and M05 were proposed. Compounds M01−M05 were selected, showing significant differences in pharmacokinetic and toxicological parameters in relation to positive controls and interaction with catalytic residues among key protein sites reported in the literature. For this reason, the molecules investigated here are dual inhibitors of the enzymes chitin synthase and juvenile hormonal protein from insects and humans, characterizing them as potential insecticides against the Aedes aegypti mosquito.

Indexed as

AedesDengueInsecticidesZika VirusZika Virus InfectionAnimalsComputational BiologyGrowth InhibitorsHumansInsectaLarvaMolecular Docking SimulationMosquito VectorsGrowth InhibitorsInsecticidesAedes aegyptiinsect growth inhibitormolecular dockingpharmacophore

Identifiers

PMID35897792
PMCPMC9332482
OpenAlexW4288039977

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.