公开(公告)号：US07756644B2

公开(公告)日：2010-07-13

申请号：US11430214

申请日：2006-05-08

申请人： Arthur Fridman ,  Ansuman Bagchi ,  Wendy Bailey

发明人： Arthur Fridman ,  Ansuman Bagchi ,  Wendy Bailey

IPC分类号： G01N33/53 ,  G06F19/00 ,  C12Q1/70

CPC分类号： G06F19/18 ,  G06F19/22 ,  G06F19/24

摘要： Methodology for the automated selection and/or optimization of T-cell epitopes is disclosed. The invention provides a data processing system which utilizes sequence-based statistical pattern recognition to compute an epitope selection matrix based on the informational content of epitopes known to bind to a particular major histocompatibility class I allele. The resulting Bayes-corrected scoring matrix is used to predict the relative binding affinities of candidate T-cell epitopes derived from immunologically relevant antigens of self or foreign origin. One aspect of the invention describes an analytical method for identification of modifications in known or predicted T-cell epitopes that confer upon the epitopes the ability to elicit stronger cellular immune response due to more efficient processing and/or presentation to T-cells. The disclosed epitope identification algorithm is applicable to the design of vaccines for infectious diseases, cancer and autoimmune diseases as well as for developing methods for the in vitro evaluation of cellular immunity.

摘要翻译： 公开了用于T细胞表位的自动选择和/或优化的方法。 本发明提供一种数据处理系统，其利用基于序列的统计模式识别来计算基于已知结合特定主要组织相容性I等位基因的表位的信息含量的表位选择矩阵。 所得贝叶斯校正后的评分矩阵用于预测衍生自自身或外来来源免疫相关抗原的候选T细胞表位的相对结合亲和力。 本发明的一个方面描述了用于鉴定已知或预测的T细胞表位的修饰的分析方法，其赋予表位由于更有效的处理和/或呈递给T细胞引起更强的细胞免疫应答的能力。 所公开的表位识别算法适用于感染性疾病，癌症和自身免疫性疾病的疫苗的设计以及用于开发体外评价细胞免疫的方法。

公开(公告)号：US20060257944A1

公开(公告)日：2006-11-16

申请号：US11430214

申请日：2006-05-08

申请人： Arthur Fridman ,  Ansuman Bagchi ,  Wendy Bailey

发明人： Arthur Fridman ,  Ansuman Bagchi ,  Wendy Bailey

IPC分类号： G01N33/567 ,  G06F19/00

CPC分类号： G06F19/18 ,  G06F19/22 ,  G06F19/24

摘要： Methodology for the automated selection and/or optimization of T-cell epitopes is disclosed. The invention provides a data processing system which utilizes sequence-based statistical pattern recognition to compute an epitope selection matrix based on the informational content of epitopes known to bind to a particular major histocompatibility class I allele. The resulting Bayes-corrected scoring matrix is used to predict the relative binding affinities of candidate T-cell epitopes derived from immunologically relevant antigens of self or foreign origin. One aspect of the invention describes an analytical method for identification of modifications in known or predicted T-cell epitopes that confer upon the epitopes the ability to elicit stronger cellular immune response due to more efficient processing and/or presentation to T-cells. The disclosed epitope identification algorithm is applicable to the design of vaccines for infectious diseases, cancer and autoimmune diseases as well as for developing methods for the in vitro evaluation of cellular immunity.

摘要翻译： 公开了用于T细胞表位的自动选择和/或优化的方法。 本发明提供一种数据处理系统，其利用基于序列的统计模式识别来计算基于已知结合特定主要组织相容性I等位基因的表位的信息含量的表位选择矩阵。 所得贝叶斯校正后的评分矩阵用于预测衍生自自身或外来来源免疫相关抗原的候选T细胞表位的相对结合亲和力。 本发明的一个方面描述了用于鉴定已知或预测的T细胞表位的修饰的分析方法，其赋予表位由于更有效的处理和/或呈递给T细胞引起更强的细胞免疫应答的能力。 所公开的表位识别算法适用于感染性疾病，癌症和自身免疫性疾病的疫苗的设计以及用于开发体外评价细胞免疫的方法。