In present study, we constructed the direct protein-protein interaction network of insecticide resistance based on subcellular localization analysis. Totally 177 of 528 resistance proteins were identified and they were located in 11 subcellular localizations. We further analyzed topological properties of the network and the biological characteristics of resistance proteins, such as k-core, neighborhood connectivity, instability index and aliphatic index. They can be used to predict the key proteins and potential mechanisms from macro-perspective. The problem of resistance has not been solved fundamentally, because the development of new insecticides can’t keep pace with the development speed of resistance, and the lack of understanding of molecular mechanism of resistance. As the further analysis to reduce data noise, we constructed the direct protein-protein interaction network of insecticide resistance based on subcellular localization analysis. The interaction between proteins located at the same subcellular location belongs to direct interactions, thus eliminating indirect interaction. Totally 177 of 528 resistance proteins were identified and they were located in 11 subcellular localizations. We further analyzed topological properties of the network and the biological characteristics of resistance proteins, such as k-core, neighborhood connectivity, instability index and aliphatic index. They can be used to predict the hub proteins and potential mechanisms from macro-perspective. This is the first study to explore the insecticide resistance molecular mechanism of Drosophila melanogaster based on subcellular localization analysis. It can provide the bioinformatics foundation for further understanding the mechanisms of insecticide resistance. It also provides a reference for the study of molecular mechanism of insecticide resistance of other insects.

在本研究中，我们基于亚细胞定位分析构建了杀虫剂抗药性的直接蛋白质-蛋白质相互作用网络。总共鉴定出528种抗性蛋白中的177种，它们位于11个亚细胞定位中。我们进一步分析了网络的拓扑特性和抗性蛋白的生物学特性，例如k核心，邻域连通性，不稳定性指数和脂肪族指数。它们可用于从宏观角度预测关键蛋白和潜在机制。抗药性问题尚未得到根本解决，因为新型杀虫剂的开发跟不上抗药性的发展速度，对抗药性的分子机制缺乏了解。为了进一步减少数据噪声，我们在亚细胞定位分析的基础上构建了杀虫剂抗药性的直接蛋白质-蛋白质相互作用网络。位于相同亚细胞位置的蛋白质之间的相互作用属于直接相互作用，因此消除了间接相互作用。总共鉴定出528种抗性蛋白中的177种，它们位于11个亚细胞定位中。k核，邻域连通性，不稳定性指数和脂族指数。它们可用于从宏观角度预测集线器蛋白和潜在机制。这是首次基于亚细胞定位分析探索果蝇抗药性分子机制的研究。它可以为进一步了解杀虫剂抗性机理提供生物信息学基础。也为研究其他昆虫抗药性的分子机理提供了参考。