Institute of Advanced Energy, Kyoto University, Uji, Kyoto 611-0011, Japan.
Dipartimento di Scienze Molecolari e Nanosistemi, Università Ca' Foscari Venezia, Edificio Alfa Campus Scientifico, Via Torino 155, Venezia-Mestre I-3010, Italy.
J Chem Phys. 2017 Sep 28;147(12):125102. doi: 10.1063/1.4999376.
Taking protein G with 56 residues for a case study, we investigate the mechanism of protein folding. In addition to its native structure possessing α-helix and β-sheet contents of 27% and 39%, respectively, we construct a number of misfolded decoys with a wide variety of α-helix and β-sheet contents. We then consider a hierarchy of 8 different models with increasing level of detail in terms of the number of entropic and energetic physical factors incorporated. The polyatomic structure is always taken into account, but the side chains are removed in half of the models. The solvent is formed by either neutral hard spheres or water molecules. Protein intramolecular hydrogen bonds (H-bonds) and protein-solvent H-bonds (the latter is present only in water) are accounted for or not, depending on the model considered. We then apply a physics-based free-energy function (FEF) corresponding to each model and investigate which structures are most stabilized. This special approach taken on a step-by-step basis enables us to clarify the role of each physical factor in contributing to the structural stability and separately elucidate its effect. Depending on the model employed, significantly different structures such as very compact configurations with no secondary structures and configurations of associated α-helices are optimally stabilized. The native structure can be identified as that with lowest FEF only when the most detailed model is employed. This result is significant for at least the two reasons: The most detailed model considered here is able to capture the fundamental aspects of protein folding notwithstanding its simplicity; and it is shown that the native structure is stabilized by a complex interplay of minimal multiple factors that must be all included in the description. In the absence of even a single of these factors, the protein is likely to be driven towards a different, more stable state.
以含有 56 个残基的蛋白 G 作为案例研究,我们研究了蛋白质折叠的机制。除了其天然结构分别具有 27%和 39%的α-螺旋和β-折叠含量外,我们还构建了许多具有广泛α-螺旋和β-折叠含量的错误折叠的诱饵。然后,我们考虑了一个 8 种不同模型的层次结构,这些模型在包含的熵和能量物理因素的数量方面具有越来越详细的级别。多原子结构始终被考虑,但在一半的模型中去除了侧链。溶剂由中性硬球或水分子形成。根据所考虑的模型,考虑或不考虑蛋白质分子内氢键(H 键)和蛋白质-溶剂 H 键(后者仅存在于水中)。然后,我们应用与每个模型对应的基于物理的自由能函数(FEF),并研究哪些结构最稳定。这种逐步采取的特殊方法使我们能够澄清每个物理因素在结构稳定性中的作用,并分别阐明其影响。根据所采用的模型,会得到非常不同的结构,例如没有二级结构的非常紧凑的配置和相关α-螺旋的配置。只有在使用最详细的模型时,才能将天然结构识别为具有最低 FEF 的结构。这个结果至少有两个重要原因:尽管这里考虑的最详细的模型很简单,但它能够捕捉到蛋白质折叠的基本方面;并且表明天然结构是由多种最小因素的复杂相互作用稳定的,这些因素必须全部包含在描述中。即使缺少这些因素中的一个,蛋白质也可能被推向不同的、更稳定的状态。