Development of a Novel Aedes aegypti Repellent: An Integrated Approach Combining In Silico and Bioassays
| dc.contributor.author | de Araujo Neto, Moysés Fagundes | |
| dc.contributor.author | de Jesus Santos, Jânio Rodrigo | |
| dc.contributor.author | de Oliveira, Ana Luiza Pontes Silva | |
| dc.contributor.author | Gois, Antonio Wanderson Vieira | |
| dc.contributor.author | Martins, Ingrid Bernardes Santana [UNESP] | |
| dc.contributor.author | Leite, Vitor Barbanti Pereira [UNESP] | |
| dc.contributor.author | Alegre, Adriano Figueiredo Monte | |
| dc.contributor.author | Magalhães, Jairo Torres | |
| dc.contributor.author | Leite, Franco Henrique Andrade | |
| dc.date.accessioned | 2026-06-17T17:55:14Z | |
| dc.date.issued | 2025-12-03 | |
| dc.description.abstract | Aedes aegypti is the most important vector of arboviruses, which are responsible for 3.9 billion cases worldwide. This mosquito seeks a host using its olfactory system, where the odorant-binding protein (OBP) in A. aegypti (AaegOBP1) is essential in sensory communication and is the first filter in odorant selection, which makes this target promising for the development of new repellents. In order to help the AaegOBP1 modulator prioritization, a validated in silico methodology was employed, which enabled the selection of a potential repellent. ZINC71773878 showed a dependency relationship between dosage and repellency activity in bioassays. At the highest concentration used (3000 µmol/100 µL), the ZINC71773878 showed a higher repellency rate than the positive control (N,N-diethyl-3-methylbenzamide [DEET]). The constant pH molecular dynamics (CpHMD) approach employed was able to elucidate the energetic contributions and the effects of different pH on AaegOBP1-ZINC71773878 complex dissociation at pH = 4.0. ZINC71773878 must be prioritized for further trials aiming to develop a new product with repellent activity that is safer and more efficient than the available commercial repellents in Brazil. | |
| dc.description.affiliation | Laboratório de Quimioinformática e Avaliação Biológica, Departamento de Saúde, Universidade Estadual de Feira de Santana, Feira de Santana, Bahia, Brazil | |
| dc.description.affiliation | Instituto de Ciências da Saúde, Universidade Federal da Bahia, Salvador, Bahia, Brazil | |
| dc.description.affiliation | Centro Multidisciplinar, Departamento de Saúde, Universidade Federal do Oeste da Bahia, Barreiras, Bahia, Brazil | |
| dc.description.affiliation | Departamento De Física—IBILCE, Universidade Estadual Paulista, São Paulo, Brazil | |
| dc.description.affiliationUnesp | Departamento De Física—IBILCE, Universidade Estadual Paulista, São Paulo, Brazil | |
| dc.identifier | https://app.dimensions.ai/details/publication/pub.1195693894 | |
| dc.identifier.dimensions | pub.1195693894 | |
| dc.identifier.doi | 10.1002/cbdv.202501251 | |
| dc.identifier.issn | 1612-1872 | |
| dc.identifier.issn | 1612-1880 | |
| dc.identifier.orcid | 0000-0002-3476-7918 | |
| dc.identifier.orcid | 0000-0003-0008-9079 | |
| dc.identifier.orcid | 0000-0003-3166-6051 | |
| dc.identifier.pmcid | PMC12761363 | |
| dc.identifier.pmid | 41337663 | |
| dc.identifier.uri | https://hdl.handle.net/11449/326148 | |
| dc.publisher | Wiley | |
| dc.relation.ispartof | Chemistry & Biodiversity; p. e01251 | |
| dc.rights.accessRights | Acesso aberto | pt |
| dc.rights.sourceRights | oa_all | |
| dc.rights.sourceRights | hybrid | |
| dc.source | Dimensions | |
| dc.title | Development of a Novel Aedes aegypti Repellent: An Integrated Approach Combining In Silico and Bioassays | |
| dc.type | Artigo | pt |
| dspace.entity.type | Publication | |
| relation.isOrgUnitOfPublication | 43c38943-bd6f-4fb6-a9a5-8482a1f632c0 | |
| relation.isOrgUnitOfPublication.latestForDiscovery | 43c38943-bd6f-4fb6-a9a5-8482a1f632c0 | |
| unesp.campus | Universidade Estadual Paulista (UNESP), Instituto de Biociências, Letras e Ciências Exatas, São José do Rio Preto | pt |
Arquivos
Pacote original
1 - 1 de 1
Carregando...
- Nome:
- Development of a Novel Aedes aegypti Repellent: AnIntegrated Approach Combining In Silico and Bioassays
- Tamanho:
- 3,26 MB
- Formato:
- Adobe Portable Document Format

