Turjanski Adrian Gustavo, Gutkind J Silvio, Best Robert B, Hummer Gerhard
Oral and Pharyngeal Cancer Branch, National Institute of Dental and Craniofacial Research, National Institutes of Health, Bethesda, Maryland, United States of America.
PLoS Comput Biol. 2008 Apr 11;4(4):e1000060. doi: 10.1371/journal.pcbi.1000060.
Transcription factors are central components of the intracellular regulatory networks that control gene expression. An increasingly recognized phenomenon among human transcription factors is the formation of structure upon target binding. Here, we study the folding and binding of the pKID domain of CREB to the KIX domain of the co-activator CBP. Our simulations of a topology-based Gō-type model predict a coupled folding and binding mechanism, and the existence of partially bound intermediates. From transition-path and Phi-value analyses, we find that the binding transition state resembles the unstructured state in solution, implying that CREB becomes structured only after committing to binding. A change of structure following binding is reminiscent of an induced-fit mechanism and contrasts with models in which binding occurs to pre-structured conformations that exist in the unbound state at equilibrium. Interestingly, increasing the amount of structure in the unbound pKID reduces the rate of binding, suggesting a "fly-casting"-like process. We find that the inclusion of attractive non-native interactions results in the formation of non-specific encounter complexes that enhance the on-rate of binding, but do not significantly change the binding mechanism. Our study helps explain how being unstructured can confer an advantage in protein target recognition. The simulations are in general agreement with the results of a recently reported nuclear magnetic resonance study, and aid in the interpretation of the experimental binding kinetics.
转录因子是控制基因表达的细胞内调控网络的核心组成部分。在人类转录因子中,一种越来越被认可的现象是在与靶标结合时会形成结构。在这里,我们研究了CREB的pKID结构域与共激活因子CBP的KIX结构域的折叠和结合。我们基于拓扑的Gō型模型模拟预测了一种耦合的折叠和结合机制,以及部分结合中间体的存在。通过过渡路径和Phi值分析,我们发现结合过渡态类似于溶液中的无结构状态,这意味着CREB只有在确定结合后才会形成结构。结合后结构的变化让人联想到诱导契合机制,这与结合发生在平衡时未结合状态下预先存在的结构化构象的模型形成对比。有趣的是,增加未结合的pKID中的结构量会降低结合速率,这表明存在类似“抛蝇钓线”的过程。我们发现,包含有吸引力的非天然相互作用会导致形成非特异性相遇复合物,从而提高结合的结合速率,但不会显著改变结合机制。我们的研究有助于解释无结构状态如何在蛋白质靶标识别中赋予优势。这些模拟结果总体上与最近报道的核磁共振研究结果一致,并有助于解释实验结合动力学。