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Unraveling protein folding mechanism by analyzing the hierarchy of models with increasing level of detail

机译:通过增加细节水平分析模型的层次结构来解开蛋白质折叠机制

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Taking protein G with 56 residues for a case study, we investigate the mechanism of protein folding. In addition to its native structure possessing alpha-helix and beta-sheet contents of 27% and 39%, respectively, we construct a number of misfolded decoys with a wide variety of alpha-helix and beta-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 alpha-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. Published by AIP Publishing.
机译:用56个残留物服用蛋白质g进行案例研究,研究蛋白质折叠的机制。除了具有27%和39%的α-螺旋和β-薄饼含量的本地结构,我们构建了许多以各种α-螺旋和β-片内容物的错误折叠诱饵。然后,我们考虑8种不同型号的层次,随着纳入熵和能量物理因素的数量而增加的细节水平。始终考虑多原子结构,但侧链在模型的一半中除去。通过中性硬球或水分子形成溶剂。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),取决于所考虑的模型。然后,我们应用于每个模型的物理基的自由能功能(FEF),并调查哪种结构最稳定。采取逐步采取的特殊方法使我们能够澄清各种物理因素在促进结构稳定性方面的作用,并分别阐明其效果。根据所采用的模型,显着不同的结构,例如具有二次结构的非常紧凑的配置和相关的α-螺旋的配置是最佳的稳定性的。只有在采用最详细的模型时,本机结构可以被识别为具有最低FEF。这至少有两个原因很大:尽管有简单性,但这里考虑的最详细的模型能够捕获蛋白质折叠的基本方面;并且结果表明,天然结构是通过最小多因素的复杂相互作用稳定,这些是必须包含在描述中的最小多因素。在没有甚至单一的这些因素的情况下,蛋白质可能被驱动朝向不同,更稳定的状态。通过AIP发布发布。

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