Beck Michael E, Gutbrod Oliver, Matthiesen Svend
Head of Computational Science, Bayer CropScience AG, R&D-SMR-RT-Computational Science, Alfred-Nobel-Strasse 50, 40789 Monheim am Rhein (Germany).
Molecular Modelling, Bayer CropScience AG, R&D-SMR-RT-Computational Science, Alfred-Nobel-Strasse 50, 40789 Monheim am Rhein (Germany).
Chemphyschem. 2015 Sep 14;16(13):2760-2767. doi: 10.1002/cphc.201500341. Epub 2015 Jul 15.
Insect nicotinic acetylcholine receptors (nAChRs) are among the most prominent and most economically important insecticide targets. Thus, an understanding of the modes of binding of respective agonists is important for the design of specific compounds with favorable vertebrate profiles. In the case of nAChRs, the lack of available high-resolution X-ray structures leaves theoretical considerations as the only viable option. Starting from classical homology and docking approaches, binding mode hypotheses are created for five agonists of the nAChR, covering insecticides in the main group 4 of the Insecticide Resistance Action Committee (IRAC) mode of action (MoA) classification, namely, neonicotinoids, nicotine, sulfoxaflor, and butenolides. To better understand these binding modes, the topologies of calculated electron densities of small-model systems are analyzed in the framework of the quantum theory of atoms in molecules. The theoretically obtained modes of binding are very much in line with the biology-driven IRAC MoA classification of the investigated ligands.
昆虫烟碱型乙酰胆碱受体(nAChRs)是最重要且在经济上最具影响力的杀虫剂作用靶标之一。因此,了解各激动剂的结合模式对于设计具有良好脊椎动物特性的特定化合物至关重要。就nAChRs而言,缺乏可用的高分辨率X射线结构使得理论考量成为唯一可行的选择。从经典的同源性和对接方法出发,为nAChR的五种激动剂创建了结合模式假说,涵盖了杀虫剂抗性行动委员会(IRAC)作用模式(MoA)分类主要第4组中的杀虫剂,即新烟碱类、尼古丁、氟吡呋喃酮和丁烯内酯。为了更好地理解这些结合模式,在分子中原子的量子理论框架内分析了小模型系统计算电子密度的拓扑结构。理论上获得的结合模式与受生物学驱动的所研究配体的IRAC MoA分类非常一致。