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Identification of Potential Insect Growth Inhibitor against Aedes aegypti: A Bioinformatics Approach
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 i...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9332482/ https://www.ncbi.nlm.nih.gov/pubmed/35897792 http://dx.doi.org/10.3390/ijms23158218 |
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author | Da Costa, Glauber V. Neto, Moysés F. A. Da Silva, Alicia K. P. De Sá, Ester M. F. Cancela, Luanne C. F. Vega, Jeanina S. Lobato, Cássio M. Zuliani, Juliana P. Espejo-Román, José M. Campos, Joaquín M. Leite, Franco H. A. Santos, Cleydson B. R. |
author_facet | Da Costa, Glauber V. Neto, Moysés F. A. Da Silva, Alicia K. P. De Sá, Ester M. F. Cancela, Luanne C. F. Vega, Jeanina S. Lobato, Cássio M. Zuliani, Juliana P. Espejo-Román, José M. Campos, Joaquín M. Leite, Franco H. A. Santos, Cleydson B. R. |
author_sort | Da Costa, Glauber V. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9332482 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-93324822022-07-29 Identification of Potential Insect Growth Inhibitor against Aedes aegypti: A Bioinformatics Approach Da Costa, Glauber V. Neto, Moysés F. A. Da Silva, Alicia K. P. De Sá, Ester M. F. Cancela, Luanne C. F. Vega, Jeanina S. Lobato, Cássio M. Zuliani, Juliana P. Espejo-Román, José M. Campos, Joaquín M. Leite, Franco H. A. Santos, Cleydson B. R. Int J Mol Sci Article 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. MDPI 2022-07-26 /pmc/articles/PMC9332482/ /pubmed/35897792 http://dx.doi.org/10.3390/ijms23158218 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Da Costa, Glauber V. Neto, Moysés F. A. Da Silva, Alicia K. P. De Sá, Ester M. F. Cancela, Luanne C. F. Vega, Jeanina S. Lobato, Cássio M. Zuliani, Juliana P. Espejo-Román, José M. Campos, Joaquín M. Leite, Franco H. A. Santos, Cleydson B. R. Identification of Potential Insect Growth Inhibitor against Aedes aegypti: A Bioinformatics Approach |
title | Identification of Potential Insect Growth Inhibitor against Aedes aegypti: A Bioinformatics Approach |
title_full | Identification of Potential Insect Growth Inhibitor against Aedes aegypti: A Bioinformatics Approach |
title_fullStr | Identification of Potential Insect Growth Inhibitor against Aedes aegypti: A Bioinformatics Approach |
title_full_unstemmed | Identification of Potential Insect Growth Inhibitor against Aedes aegypti: A Bioinformatics Approach |
title_short | Identification of Potential Insect Growth Inhibitor against Aedes aegypti: A Bioinformatics Approach |
title_sort | identification of potential insect growth inhibitor against aedes aegypti: a bioinformatics approach |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9332482/ https://www.ncbi.nlm.nih.gov/pubmed/35897792 http://dx.doi.org/10.3390/ijms23158218 |
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