Perunov Nikolay, England Jeremy L
Department of Physics, Massachusetts Institute of Technology, Cambridge, Massachusetts, 02139.
Protein Sci. 2014 Apr;23(4):387-99. doi: 10.1002/pro.2420. Epub 2014 Feb 19.
Various studies suggest that the hydrophobic effect plays a major role in driving the folding of proteins. In the past, however, it has been challenging to translate this understanding into a predictive, quantitative theory of how the full pattern of sequence hydrophobicity in a protein shapes functionally important features of its tertiary structure. Here, we extend and apply such a phenomenological theory of the sequence-structure relationship in globular protein domains, which had previously been applied to the study of allosteric motion. In an effort to optimize parameters for the model, we first analyze the patterns of backbone burial found in single-domain crystal structures, and discover that classic hydrophobicity scales derived from bulk physicochemical properties of amino acids are already nearly optimal for prediction of burial using the model. Subsequently, we apply the model to studying structural fluctuations in proteins and establish a means of identifying ligand-binding and protein-protein interaction sites using this approach.
各种研究表明,疏水作用在驱动蛋白质折叠过程中起主要作用。然而,过去要将这种认识转化为一种预测性的、定量的理论,即蛋白质中序列疏水性的完整模式如何塑造其三级结构的功能重要特征,一直具有挑战性。在此,我们扩展并应用了一种关于球状蛋白质结构域中序列 - 结构关系的唯象理论,该理论此前已应用于变构运动的研究。为了优化模型参数,我们首先分析单结构域晶体结构中主链埋藏的模式,发现源自氨基酸整体物理化学性质的经典疏水性标度对于使用该模型预测埋藏情况已近乎最佳。随后,我们将该模型应用于研究蛋白质中的结构波动,并建立了一种使用此方法识别配体结合和蛋白质 - 蛋白质相互作用位点的手段。