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A critical assessment of the topomer search model of protein folding using a continuum explicit-chain model with extensive conformational sampling

机译:使用连续构象显式链模型和大量构象采样对蛋白质折叠的拓扑异构体搜索模型进行关键评估

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摘要

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 Cα 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 φ-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.
机译:最近,针对小的单结构域蛋白的折叠机制,提出了一系列紧密相关的理论构建体,称为“拓扑搜索模型”(TSM)。提出的方案的基本假设是,折叠中的限速步骤是一种对称为构象状态的构象状态的基本无偏扩散性搜索,该构象状态由整体类似自然的拓扑模式定义。将TSM预测的折叠率与真实蛋白质的折叠率相关联的成功已被解释为对该模型的实验支持。为了更好地描述所涉及的物理过程,这里使用连续Cα链模型的广泛Langevin动力学模拟对关键TSM概念进行了研究。表征了四个实验研究良好的两种状态蛋白质的理论天然拓扑异构体。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率而增加。但是,在随机搜索过程中仔细确定天然拓扑异构体的相应概率的确定无法重现以前预测的折叠率。相反,我们的结果表明,对天然拓扑异构体的无偏性TSM搜索相当于一个类似于Levinthal的过程,这将花费很长的平均时间来完成。此外,所考虑的所有四个天然拓扑异构体中的蛋白内接触均与从这些蛋白的折叠动力学确定的实验φ值无明显相关性。因此,目前的发现表明,蛋白质折叠中某些基本的,通用的但必不可少的能量特征迄今为止尚未被TSM情景解释。

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