Süel Gürol M, Lockless Steve W, Wall Mark A, Ranganathan Rama
Howard Hughes Medical Institute and Department of Pharmacology, The University of Texas Southwestern Medical Center, 5323 Harry Hines Boulevard, Dallas, Texas 75390-9050, USA.
Nat Struct Biol. 2003 Jan;10(1):59-69. doi: 10.1038/nsb881.
A fundamental goal in cellular signaling is to understand allosteric communication, the process by which signals originating at one site in a protein propagate reliably to affect distant functional sites. The general principles of protein structure that underlie this process remain unknown. Here, we describe a sequence-based statistical method for quantitatively mapping the global network of amino acid interactions in a protein. Application of this method for three structurally and functionally distinct protein families (G protein-coupled receptors, the chymotrypsin class of serine proteases and hemoglobins) reveals a surprisingly simple architecture for amino acid interactions in each protein family: a small subset of residues forms physically connected networks that link distant functional sites in the tertiary structure. Although small in number, residues comprising the network show excellent correlation with the large body of mechanistic data available for each family. The data suggest that evolutionarily conserved sparse networks of amino acid interactions represent structural motifs for allosteric communication in proteins.
细胞信号传导的一个基本目标是理解变构通讯,即蛋白质中一个位点产生的信号可靠地传播以影响远处功能位点的过程。构成这一过程基础的蛋白质结构一般原则仍不清楚。在此,我们描述了一种基于序列的统计方法,用于定量绘制蛋白质中氨基酸相互作用的全局网络。将该方法应用于三个结构和功能不同的蛋白质家族(G蛋白偶联受体、丝氨酸蛋白酶的胰凝乳蛋白酶类和血红蛋白),揭示了每个蛋白质家族中氨基酸相互作用的一种惊人简单的结构:一小部分残基形成了连接三级结构中远处功能位点的物理连接网络。尽管组成网络的残基数量很少,但它们与每个家族现有的大量机制数据显示出极好的相关性。这些数据表明,氨基酸相互作用的进化保守稀疏网络代表了蛋白质变构通讯的结构基序。