Department of Applied Physics, Nagoya University, Nagoya 464-8603, Japan.
Proc Natl Acad Sci U S A. 2010 Apr 27;107(17):7775-80. doi: 10.1073/pnas.0912978107. Epub 2010 Apr 12.
A statistical mechanical model of allosteric transitions in proteins is developed by extending the structure-based model of protein folding to cases of multiple native conformations. The partition function is calculated exactly within the model and the free-energy surface reflecting allostery is derived. This approach is applied to an example protein, the receiver domain of the bacterial enhancer-binding protein NtrC. The model predicts the large entropy associated with a combinatorial number of preexisting transition routes. This large entropy lowers the free-energy barrier of the allosteric transition, which explains the large structural fluctuation observed in the NMR data of NtrC. The global allosteric transformation of NtrC is explained by the shift of preexisting distribution of conformations upon phosphorylation, but the local structural adjustment around the phosphorylation site is explained by the complementary induced-fit mechanism. Structural disordering accompanied by fluctuating interactions specific to two allosteric conformations underlies a large number of routes of allosteric transition.
一个蛋白质变构跃迁的统计力学模型是通过将基于结构的蛋白质折叠模型扩展到多个天然构象的情况来建立的。在模型中精确地计算了配分函数,并推导出反映变构作用的自由能表面。这种方法应用于一个例子蛋白质,即细菌增强子结合蛋白 NtrC 的受体结构域。该模型预测了与预先存在的组合数量相关的大量熵。这种大的熵降低了变构跃迁的自由能势垒,这解释了在 NtrC 的 NMR 数据中观察到的大的结构波动。NtrC 的全局变构转换是通过磷酸化时预先存在的构象分布的移动来解释的,但是磷酸化位点周围的局部结构调整是通过互补的诱导契合机制来解释的。结构去折叠伴随着两个变构构象特有的波动相互作用,为大量的变构跃迁途径提供了基础。