自动停靠
气味结合蛋白
公共化学
化学
迪特
驱虫剂
生物信息学
对接(动物)
分子动力学
码头
立体化学
蛋白质数据库
结合位点
蛋白质数据库
计算生物学
蛋白质结构
生物化学
计算化学
生物
医学
生态学
护理部
免疫学
基因
作者
Katerin Fuentes-Lopez,Maicol Ahumedo,Jesús Olívero-Verbel,Karina Caballero-Gallardo
标识
DOI:10.1080/1062936x.2024.2382973
摘要
Essential oils (EOs) are natural products currently used to control arthropods, and their interaction with insect odorant-binding proteins (OBPs) is fundamental for the discovery of new repellents. This in silico study aimed to predict the potential of EO components to interact with odorant proteins. A total of 684 EO components from PubChem were docked against 23 odorant binding proteins from Protein Data Bank using AutoDock Vina. The ligands and proteins were optimized using Gaussian 09 and Sybyl-X 2.0, respectively. The nature of the protein-ligand interactions was characterized using LigandScout 4.0, and visualization of the binding mode in selected complexes was carried out by Pymol. Additionally, complexes with the best binding energy in molecular docking were subjected to 500 ns molecular dynamics simulations using Gromacs. The best binding affinity values were obtained for the 1DQE-ferutidine (−11 kcal/mol) and 2WCH-kaurene (−11.2 kcal/mol) complexes. Both are natural ligands that dock onto those proteins at the same binding site as DEET, a well-known insect repellent. This study identifies kaurene and ferutidine as possible candidates for natural insect repellents, offering a potential alternative to synthetic chemicals like DEET.
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