Publication: Hierarchical Virtual Screening and Binding Free Energy Prediction of Potential Modulators of Aedes Aegypti Odorant-Binding Protein 1.
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Identifiers
Date
2022-19-30
Authors
Neto, Moyses F A
Campos, Joaquin M
Cerqueira, Amanda P M
de Lima, Lucio R
Da Costa, Glauber V
Ramos, Ryan Da S
Junior, Jairo T Magalhães
Santos, Cleydson B R
Leite, Franco H A
Advisors
Journal Title
Journal ISSN
Volume Title
Publisher
MDPI AG
Abstract
The Aedes aegypti mosquito is the main hematophagous vector responsible for arbovirus transmission in Brazil. The disruption of A. aegypti hematophagy remains one of the most efficient and least toxic methods against these diseases and, therefore, efforts in the research of new chemical entities with repellent activity have advanced due to the elucidation of the functionality of the olfactory receptors and the behavior of mosquitoes. With the growing interest of the pharmaceutical and cosmetic industries in the development of chemical entities with repellent activity, computational studies (e.g., virtual screening and molecular modeling) are a way to prioritize potential modulators with stereoelectronic characteristics (e.g., pharmacophore models) and binding affinity to the AaegOBP1 binding site (e.g., molecular docking) at a lower computational cost. Thus, pharmacophore- and docking-based virtual screening was employed to prioritize compounds from Sigma-Aldrich® (n = 126,851) and biogenic databases (n = 8766). In addition, molecular dynamics (MD) was performed to prioritize the most potential potent compounds compared to DEET according to free binding energy calculations. Two compounds showed adequate stereoelectronic requirements (QFIT > 81.53), AaegOBP1 binding site score (Score > 42.0), volatility and non-toxic properties and better binding free energy value (∆G 81.53), AaegOBP1 binding site score (Score > 42.0), volatility and non-toxic properties and better binding free energy value (∆G 42.0), volatility and non-toxic properties and better binding free energy value (∆G
Description
MeSH Terms
Animals
Aedes
Receptors, Odorant
DEET
Molecular Docking Simulation
Mosquito Vectors
Insect Repellents
Pharmaceutical Preparations
Aedes
Receptors, Odorant
DEET
Molecular Docking Simulation
Mosquito Vectors
Insect Repellents
Pharmaceutical Preparations
DeCS Terms
Aedes
Animales
DEET
Mosquitos vectores
Preparaciones farmacéuticas
Receptores odorantes
Repelentes de insectos
Simulación del acoplamiento
Molecular
Animales
DEET
Mosquitos vectores
Preparaciones farmacéuticas
Receptores odorantes
Repelentes de insectos
Simulación del acoplamiento
Molecular
CIE Terms
Keywords
Aedes aegypti, molecular dynamics, odorant binding protein 1, pharmacophore model, virtual screening
Citation
Neto MFA, Campos JM, Cerqueira APM, de Lima LR, Da Costa GV, Ramos RDS, et al. Hierarchical Virtual Screening and Binding Free Energy Prediction of Potential Modulators of Aedes Aegypti Odorant-Binding Protein 1. Molecules. 2022 Oct 11;27(20):6777.