MULTIPRED: a computational system for prediction of promiscuous HLA binding peptides.
MULTIPRED: a computational system for prediction of promiscuous HLA binding peptides.
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DOI：
10.1093/nar/gki452
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发表时间：
2005-07-01
影响因子：
14.9
通讯作者：
Brusic V
中科院分区：
文献类型：
--
作者：
Zhang GL;Khan AM;Srinivasan KN;August JT;Brusic V
MULTIPRED是一种基于网络的计算系统，用于预测肽与属于人类白细胞抗原（HLA）I类A2、A3和II类DR超型的多种分子（蛋白质）的结合。它使用隐马尔可夫模型和人工神经网络方法作为预测引擎。一种新的数据表示方法使MULTIPRED能够预测在一个HLA超型内混杂结合多个HLA等位基因的肽。为了验证预测模型，进行了广泛的测试。试验结果表明，MULTIPRED具有灵敏度高、特异性强和良好的预测能力（受试者工作特征曲线下面积AROC > 0.80）。MULTIPRED可用于定位混杂T细胞表位以及这些靶点的高浓度区域-称为T细胞表位热点。MULTIPRED可在。
MULTIPRED is a web-based computational system for the prediction of peptide binding to multiple molecules (proteins) belonging to human leukocyte antigens (HLA) class I A2, A3 and class II DR supertypes. It uses hidden Markov models and artificial neural network methods as predictive engines. A novel data representation method enables MULTIPRED to predict peptides that promiscuously bind multiple HLA alleles within one HLA supertype. Extensive testing was performed for validation of the prediction models. Testing results show that MULTIPRED is both sensitive and specific and it has good predictive ability (area under the receiver operating characteristic curve AROC > 0.80). MULTIPRED can be used for the mapping of promiscuous T-cell epitopes as well as the regions of high concentration of these targets—termed T-cell epitope hotspots. MULTIPRED is available at .