Kukhtina V, Kottwitz D, Strauss H, Heise B, Chebotareva N, Tsetlin V, Hucho F
Institute of Biochemistry, Free University of Berlin, Berlin, Germany.
J Neurochem. 2006 Apr;97 Suppl 1:63-7. doi: 10.1111/j.1471-4159.2005.03468.x.
Bioinformatics methods with subsequent verification by experimental data were applied to the structural investigation of the intracellular loop of the delta-subunit of the nicotinic acetylcholine receptor (nAChR). Three complementary methods were used: prediction of secondary structure elements, prediction of ordered/disordered protein regions and prediction of short functional binding motifs. The output of five different algorithms was used for the secondary structure construction. Most of the intracellular domain is predicted to be unfolded. The predictions correlate well with the experimental data of limited proteolysis and NMR performed on the mostly monomeric fraction of heterologously expressed Torpedo intracellular domain protein. Twelve functional binding motifs within the disordered regions of the nAChR intracellular domain are predicted. Identification of proteins that interact with the intracellular domain will provide a better understanding of protein-protein interactions involved in nAChR assembly, trafficking and clustering.
运用生物信息学方法并随后通过实验数据进行验证,对烟碱型乙酰胆碱受体(nAChR)δ亚基的细胞内环进行结构研究。使用了三种互补方法:二级结构元件预测、蛋白质有序/无序区域预测以及短功能结合基序预测。五种不同算法的输出结果用于构建二级结构。预测表明,大部分细胞内结构域是未折叠的。这些预测与对异源表达的电鳐细胞内结构域蛋白的大部分单体部分进行的有限蛋白酶解和核磁共振实验数据高度相关。预测了nAChR细胞内结构域无序区域内的十二个功能结合基序。鉴定与细胞内结构域相互作用的蛋白质将有助于更好地理解参与nAChR组装、运输和聚集的蛋白质-蛋白质相互作用。