Prediction of HLA-DQ3.2beta ligands: evidence of multiple registers in class II binding peptides.
Prediction of HLA-DQ3.2beta ligands: evidence of multiple registers in class II binding peptides.
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HLA-DQ3.2beta 配体的预测:II 类结合肽中多个寄存器的证据。
DOI:
10.1093/bioinformatics/btl071
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发表时间:
2006
期刊:
影响因子:
--
通讯作者:
Ranganathan,Shoba
中科院分区:
文献类型:
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作者:
Tong,JooChuan;Zhang,GuangLan;Tan,TinWee;August,JThomas;Brusic,Vladimir;Ranganathan,Shoba
Motivation:While processing of MHC class II antigens for presentation to helper T-cells is essential for normal immune response, it is also implicated in the pathogenesis of autoimmune disorders and hypersensitivity reactions. Sequence-based computational techniques for predicting HLA-DQ binding peptides have encountered limited success, with few prediction techniques developed using three-dimensional models.Methods:We describe a structure-based prediction model for modeling peptide-DQ3.2βcomplexes. We have developed a rapid and accurate protocol for docking candidate peptides into the DQ3.2βreceptor and a scoring function to discriminate binders from the background. The scoring function was rigorously trained, tested and validated using experimentally verified DQ3.2βbinding and non-binding peptides obtained from biochemical and functional studies.Results:Our model predicts DQ3.2βbinding peptides with high accuracy [area under the receiver operating characteristic (ROC) curveAROC> 0.90], compared with experimental data. We investigated the binding patterns of DQ3.2βpeptides and illustrate that several registers exist within a candidate binding peptide. Further analysis reveals that peptides with multiple registers occur predominantly for high-affinity binders.Contact:shoba@els.mq.edu.auSupplementary information:Supplementary data is available atBioinformaticsonline.