Yang Jianying, Swaminathan Chittoor P, Huang Yuping, Guan Rongjin, Cho Sangwoo, Kieke Michele C, Kranz David M, Mariuzza Roy A, Sundberg Eric J
Center for Advanced Research in Biotechnology, W. M. Keck Laboratory for Structural Biology, University of Maryland Biotechnology Institute, Rockville, Maryland 20850, USA.
J Biol Chem. 2003 Dec 12;278(50):50412-21. doi: 10.1074/jbc.M306848200. Epub 2003 Sep 27.
When two proteins associate they form a molecular interface that is a structural and energetic mosaic. Within such interfaces, individual amino acid residues contribute distinct binding energies to the complex. In combination, these energies are not necessarily additive, and significant positive or negative cooperative effects often exist. The basis of reliable algorithms to predict the specificities and energies of protein-protein interactions depends critically on a quantitative understanding of this cooperativity. We have used a model protein-protein system defined by an affinity maturation pathway, comprising variants of a T cell receptor Vbeta domain that exhibit an overall affinity range of approximately 1500-fold for binding to the superantigen staphylococcal enterotoxin C3, in order to dissect the cooperative and additive energetic contributions of residues within an interface. This molecular interaction has been well characterized previously both structurally, by x-ray crystallographic analysis, and energetically, by scanning alanine mutagenesis. Through analysis of group and individual maturation and reversion mutations using surface plasmon resonance spectroscopy, we have identified energetically important interfacial residues, determined their cooperative and additive energetic properties, and elucidated the kinetic and thermodynamic bases for molecular evolution in this system. The summation of the binding free energy changes associated with the individual mutations that define this affinity maturation pathway is greater than that of the fully matured variant, even though the affinity gap between the end point variants is relatively large. Two mutations in particular, both located in the complementarity determining region 2 loop of the Vbeta domain, exhibit negative cooperativity.
当两种蛋白质结合时,它们会形成一个分子界面,该界面是一个结构和能量的镶嵌体。在这样的界面中,单个氨基酸残基对复合物贡献不同的结合能。这些能量的总和不一定是相加的,通常存在显著的正协同或负协同效应。预测蛋白质-蛋白质相互作用特异性和能量的可靠算法的基础关键取决于对这种协同性的定量理解。我们使用了一个由亲和力成熟途径定义的模型蛋白质-蛋白质系统,该系统由T细胞受体Vβ结构域的变体组成,这些变体对超抗原葡萄球菌肠毒素C3的结合表现出约1500倍的整体亲和力范围,以便剖析界面内残基的协同和累加能量贡献。这种分子相互作用先前已通过X射线晶体学分析在结构上以及通过扫描丙氨酸诱变在能量上得到了很好的表征。通过使用表面等离子体共振光谱分析群体和个体的成熟和回复突变,我们确定了能量上重要的界面残基,确定了它们的协同和累加能量特性,并阐明了该系统中分子进化的动力学和热力学基础。即使终点变体之间的亲和力差距相对较大,但与定义该亲和力成熟途径的各个突变相关的结合自由能变化之和大于完全成熟变体的结合自由能变化之和。特别是位于Vβ结构域互补决定区2环中的两个突变表现出负协同性。