Predicting interactions between T cell receptors and MHC-peptide complexes

被引:11
|
作者
Roomp, Kirsten [1 ]
Domingues, Francisco S. [1 ]
机构
[1] Max Planck Inst Informat, Dept Computat Biol & Appl Algorithm, D-66123 Saarbrucken, Germany
关键词
T cell receptor; MHC-peptide complex; Residue interaction prediction; Non-covalent interactions; Protein interface; THYMIC SELECTION; ALPHA-CHAIN; AMINO-ACIDS; TCR; BINDING; RECOGNITION; REPERTOIRE; EPITOPE; HLA-A2; MOLECULES;
D O I
10.1016/j.molimm.2010.10.014
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
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. (C) 2010 Elsevier Ltd. All rights reserved.
引用
收藏
页码:553 / 562
页数:10
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