Furuta Tadaomi, Fujitsuka Yoshimi, Chikenji George, Takada Shoji
Department of Chemistry, Faculty of Science, and Graduate School of Science and Technology, Kobe University, Nada, Kobe, Japan.
Biophys J. 2008 Apr 1;94(7):2558-65. doi: 10.1529/biophysj.107.115261. Epub 2008 Jan 4.
Currently, one of the most serious problems in protein-folding simulations for de novo structure prediction is conformational sampling of medium-to-large proteins. In vivo, folding of these proteins is mediated by molecular chaperones. Inspired by the functions of chaperonins, we designed a simple chaperonin-like simulation protocol within the framework of the standard fragment assembly method: in our protocol, the strength of the hydrophobic interaction is periodically modulated to help the protein escape from misfolded structures. We tested this protocol for 38 proteins and found that, using a certain defined criterion of success, our method could successfully predict the native structures of 14 targets, whereas only those of 10 targets were successfully predicted using the standard protocol. In particular, for non-alpha-helical proteins, our method yielded significantly better predictions than the standard approach. This chaperonin-inspired protocol that enhanced de novo structure prediction using folding simulations may, in turn, provide new insights into the working principles underlying the chaperonin system.
目前,在用于从头预测结构的蛋白质折叠模拟中,最严重的问题之一是中大型蛋白质的构象采样。在体内,这些蛋白质的折叠由分子伴侣介导。受伴侣蛋白功能的启发,我们在标准片段组装方法的框架内设计了一种简单的类似伴侣蛋白的模拟方案:在我们的方案中,疏水相互作用的强度会周期性地调节,以帮助蛋白质逃离错误折叠的结构。我们对38种蛋白质测试了该方案,发现使用某种定义的成功标准,我们的方法可以成功预测14个目标的天然结构,而使用标准方案仅成功预测了10个目标的天然结构。特别是对于非α螺旋蛋白质,我们的方法比标准方法产生了明显更好的预测。这种受伴侣蛋白启发的方案通过折叠模拟增强了从头结构预测,反过来可能会为伴侣蛋白系统的工作原理提供新的见解。