Wallin Stefan, Chan Hue Sun
Department of Biochemistry, University of Toronto, 1 King's College Circle, Toronto, Ontario M5S 1A8, Canada.
Protein Sci. 2005 Jun;14(6):1643-60. doi: 10.1110/ps.041317705.
Recently, a series of closely related theoretical constructs termed the "topomer search model" (TSM) has been proposed for the folding mechanism of small, single-domain proteins. A basic assumption of the proposed scenarios is that the rate-limiting step in folding is an essentially unbiased, diffusive search for a conformational state called the native topomer defined by an overall native-like topological pattern. Successes in correlating TSM-predicted folding rates with that of real proteins have been interpreted as experimental support for the model. To better delineate the physics entailed, key TSM concepts are examined here using extensive Langevin dynamics simulations of continuum C(alpha) chain models. The theoretical native topomers of four experimentally well-studied two-state proteins are characterized. Consistent with the TSM perspective, we found that the sizes of the native topomers increase with experimental folding rate. However, a careful determination of the corresponding probabilities that the native topomers are populated during a random search fails to reproduce the previously predicted folding rates. Instead, our results indicate that an unbiased TSM search for the native topomer amounts to a Levinthal-like process that would take an impossibly long average time to complete. Furthermore, intraprotein contacts in all four native topomers considered exhibit no apparent correlation with the experimental phi-values determined from the folding kinetics of these proteins. Thus, the present findings suggest that certain basic, generic yet essential energetic features in protein folding are not accounted for by TSM scenarios to date.
最近,针对小型单结构域蛋白质的折叠机制,有人提出了一系列密切相关的理论构想,称为“拓扑异构体搜索模型”(TSM)。这些构想的一个基本假设是,折叠过程中的限速步骤本质上是对一种构象状态进行无偏扩散搜索,这种构象状态称为天然拓扑异构体,由整体类似天然的拓扑模式定义。将TSM预测的折叠速率与实际蛋白质的折叠速率相关联方面所取得的成功,已被解释为对该模型的实验支持。为了更好地描述其中涉及的物理过程,本文使用连续Cα链模型的大量朗之万动力学模拟,对TSM的关键概念进行了研究。对四种经过充分实验研究的两态蛋白质的理论天然拓扑异构体进行了表征。与TSM观点一致,我们发现天然拓扑异构体的大小随实验折叠速率增加。然而,仔细确定在随机搜索过程中填充天然拓扑异构体的相应概率,却无法重现先前预测的折叠速率。相反,我们的结果表明,对天然拓扑异构体进行无偏的TSM搜索相当于一个类似莱文索尔的过程,平均完成时间长得令人难以置信。此外,所考虑的所有四种天然拓扑异构体中的蛋白质内接触,与根据这些蛋白质的折叠动力学确定的实验φ值均无明显相关性。因此,目前的研究结果表明,迄今为止,TSM构想并未考虑蛋白质折叠中某些基本、通用但至关重要的能量特征。