Department of Computational Biology and Applied Algorithmics, Max Planck Institute for Informatics, 66123 Saarbruecken, Germany.
Mol Immunol. 2011 Jan;48(4):553-62. doi: 10.1016/j.molimm.2010.10.014. Epub 2010 Nov 23.
Conserved interactions between T cell receptors (TCRs) and major histocompatibility complex (MHC) proteins with bound peptide antigens are not well understood. In order to gain a better understanding of the interaction modes of human TCR variable (V) regions, we have performed a structural analysis of the TCRs bound to their MHC-peptide ligands in human, using the available structural models determined by X-ray crystallography. We identified important differences to previous studies in which such interactions were evaluated. Based on the interactions found in the actual experimental structures we developed the first rule-based approach for predicting the ability of TCR residues in the complementarity-determining region (CDR) 1, CDR2, and CDR3 loops to interact with the MHC-peptide antigen complex. Two relatively simple algorithms show good performance under cross validation.
T 细胞受体 (TCR) 与主要组织相容性复合物 (MHC) 蛋白与结合的肽抗原之间的保守相互作用尚不清楚。为了更好地了解人类 TCR 可变 (V) 区的相互作用模式,我们使用 X 射线晶体学确定的现有结构模型,对与 MHC-肽配体结合的 TCR 进行了结构分析。我们发现与之前评估此类相互作用的研究存在重要差异。基于在实际实验结构中发现的相互作用,我们开发了第一个基于规则的方法,用于预测互补决定区 (CDR) 1、CDR2 和 CDR3 环中 TCR 残基与 MHC-肽抗原复合物相互作用的能力。两个相对简单的算法在交叉验证下表现出良好的性能。