发明申请
WO2005038000A2 T CELL EPITOPES USEFUL IN MYCOBACTERIUM TUBERCULOSIS VACCINE AND AS DIAGNOSTIC TOOLS AND METHODS FOR IDENTIFYING SAME
审中-公开
基本信息:
- 专利标题： T CELL EPITOPES USEFUL IN MYCOBACTERIUM TUBERCULOSIS VACCINE AND AS DIAGNOSTIC TOOLS AND METHODS FOR IDENTIFYING SAME
- 专利标题（中）：用于MYCOBACTERIUM TUBCCOSOSIS VACCINE和诊断工具的T细胞抗原决定因子及其鉴定方法
- 申请号：PCT/US2004/033939 申请日：2004-10-15
- 公开(公告)号：WO2005038000A2 公开(公告)日：2005-04-28
- 发明人： LUND, Ole , LUNDEGAARD, Claus , NIELSEN, Morten , WORNING, Peder , DEANS, Robert, J. , BUUS, Søren , BRUNAK, Søren
- 申请人： PECOS LABS, INC. , LUND, Ole , LUNDEGAARD, Claus , NIELSEN, Morten , WORNING, Peder , DEANS, Robert, J. , BUUS, Søren , BRUNAK, Søren
- 申请人地址： 1850 Old Pecos Trail, Suite K, Sante Fe, NM 87505 US
- 专利权人： PECOS LABS, INC.,LUND, Ole,LUNDEGAARD, Claus,NIELSEN, Morten,WORNING, Peder,DEANS, Robert, J.,BUUS, Søren,BRUNAK, Søren
- 当前专利权人： PECOS LABS, INC.,LUND, Ole,LUNDEGAARD, Claus,NIELSEN, Morten,WORNING, Peder,DEANS, Robert, J.,BUUS, Søren,BRUNAK, Søren
- 当前专利权人地址： 1850 Old Pecos Trail, Suite K, Sante Fe, NM 87505 US
- 代理机构： REA, Teresa, Stanek
- 优先权： US60/511,666 20031017
- 主分类号： C12N
- IPC分类号： C12N
摘要：
In a first aspect the present invention consists of T cell epitopes in the Mycobacterium tuberculosis genome. More specifically there is provided 1000 linear peptide epitopes from the M. tuberculosis genome. In a second aspect the invention also consists of variants of these sequences. In a third aspect this invention consists of a method to predict these sequences from genome data and to validate the predictions experimentally. In a fourth aspect the present invention provides compositions including these epitopes for use in a vaccine and to induce a T cell response in a subject, or as a diagnostic tool. Figure 2 shows a plot of the measured versus the predicted binding affinity score for four different prediction methods (a) Rammensee matrix method, (b) Hidden Markov model trained on sequences in the Rammensee dataset, (c) Neural network trained with sparse sequence encoding, and (d) the Comb-II neural network method.
摘要（中）：
在第一方面，本发明由结核分枝杆菌基因组中的T细胞表位组成。 更具体地，提供了来自结核分枝杆菌基因组的1000个线性肽表位。 在第二方面，本发明也由这些序列的变体组成。 在第三方面，本发明包括从基因组数据预测这些序列并通过实验来验证预测的方法。 在第四方面，本发明提供包含用于疫苗的这些表位并诱导受试者的T细胞应答或作为诊断工具的组合物。 图2显示了四种不同预测方法的测量值与预测的结合亲和度分数的曲线图（a）Rammensee矩阵法，（b）针对Rammensee数据集序列训练的隐马尔可夫模型，（c）用稀疏序列编码训练的神经网络 ，（d）Comb-II神经网络方法。