Vasmatzis G, Cornette J, Sezerman U, DeLisi C
Department of Mathematics, Iowa State University, Ames 50011, USA.
J Mol Biol. 1996 Aug 9;261(1):72-89. doi: 10.1006/jmbi.1996.0442.
We have developed a method that utilizes site-specific mutation data, sequence analysis, immunological data and free-energy minimization, to determine structural features of the ternary complex formed by the T-cell receptor (TcR) and the class I major histocompatibility complex (MHC) molecule bound by peptide. The analysis focuses on the mouse Kd MHC system, for which a large set of clones with sequenced T-cell receptors is available for specific peptides. The general philosophy is to reduce the uncertainties and computation time in a free-energy minimization procedure by identifying and imposing experimental constraints. In addition to assessing compatibility with various kinds of immunological data, we are particularly interested in differentiating the structural features peculiar to this particular system from generic features, and in ascertaining the robustness of the structure; i.e. determining, in so far as possible, the variations in the structure that leave its compatibility with experiment unaltered from those that do not. This last is equivalent to recognizing that certain features of the model are presented with a reasonable degree of confidence, while others remain highly tentative. The central conclusion in the former category is a placement of the TcR on the Kd peptide complex, which has its beta 2, beta 3 and alpha 3 loops (i.e. the second and third complementarity-determining region of the TcR beta chain, and the third complementarity-determining region of the alpha chain) covering the peptide; the alpha 1 and alpha 2 loops covering the MHC alpha 1 helix; the alpha 2 loop interacting with residues on the MHC beta sheet; and the beta 1 and (part of) the beta 2 loops covering the alpha 2 MHC helix. More specifically, our findings include the following. (1) A highly conserved histidine residue in the first complementarity-determining region of the TcR beta chain (beta:CDR1) points outward and interacts with highly conserved side-chains on the MHC alpha 2 helix. (2) The amino-terminal portion of the beta 2 loop interacts with the carboxyl portion of the peptide. A particularly important interaction is K4 of the loop interacting with E8 of the peptide. (3) Charged side-chains of the 11-residue TcR alpha 2 loop interact with conserved charged side-chains at positions 44, 58, 61 and 68 on the MHC. (4) The TcR beta 3 loop interacts with the amino-terminal part of the peptide, up through position 4. (5) the TcR alpha 3 loop interacts with the central portion of the peptide and stacks against the beta 2 loop. (6) Because of the interaction between the beta 2 loop and the peptide, and stacking of beta 2 on alpha 3, alpha 3 gene and V beta gene selection can be correlated. (7) Using the topology of the recently solved TcR alpha chain we predict that the alpha 2 loop interacts with the loop on the MHC beta sheet floor, which encompasses residues 42 to 44.
我们开发了一种方法,该方法利用位点特异性突变数据、序列分析、免疫学数据和自由能最小化,来确定由T细胞受体(TcR)与结合肽的I类主要组织相容性复合体(MHC)分子形成的三元复合物的结构特征。该分析聚焦于小鼠Kd MHC系统,对于该系统,有大量具有已测序T细胞受体的克隆可用于特定肽段。总体思路是通过识别和施加实验约束来减少自由能最小化过程中的不确定性和计算时间。除了评估与各种免疫学数据的兼容性外,我们特别感兴趣的是区分该特定系统特有的结构特征与一般特征,并确定结构的稳健性;即尽可能确定结构中与实验兼容性不变的变化与不兼容的变化。最后一点等同于认识到模型的某些特征具有合理程度的可信度,而其他特征仍然高度不确定。前一类的核心结论是TcR在Kd肽复合物上的定位,其β2、β3和α3环(即TcRβ链的第二和第三互补决定区以及α链的第三互补决定区)覆盖肽段;α1和α2环覆盖MHCα1螺旋;α2环与MHCβ片层上的残基相互作用;β1和(部分)β2环覆盖α2 MHC螺旋。更具体地说,我们的发现包括以下几点。(1)TcRβ链第一互补决定区(β:CDR1)中一个高度保守的组氨酸残基向外指向并与MHCα2螺旋上高度保守的侧链相互作用。(2)β2环的氨基末端部分与肽段的羧基末端部分相互作用。一个特别重要的相互作用是环上的K4与肽段的E8相互作用。(3)11个残基的TcRα2环的带电侧链与MHC上第44、58、61和68位的保守带电侧链相互作用。(4)TcRβ3环与肽段的氨基末端部分相互作用,直至第4位。(5)TcRα3环与肽段的中央部分相互作用并与β2环堆叠。(6)由于β2环与肽段之间的相互作用以及β2在α3上的堆叠,α3基因和Vβ基因的选择可能相关。(7)利用最近解析的TcRα链的拓扑结构,我们预测α2环与MHCβ片层底部的环相互作用,该环包含第42至44位残基。