Hla-Binding Peptide, and Dna Fragment and Recombinant Vector Coding for Said Hla-Binding Peptide
    11.
    发明申请
    Hla-Binding Peptide, and Dna Fragment and Recombinant Vector Coding for Said Hla-Binding Peptide 审中-公开
    Hla结合肽和Dna片段和用于所述Hla结合肽的重组载体编码

    公开(公告)号:US20080293916A1

    公开(公告)日:2008-11-27

    申请号:US11574963

    申请日:2005-09-13

    IPC分类号: C07K7/00 C12N15/11 C12N15/00

    CPC分类号: C07K7/06

    摘要: An HLA-binding peptide binding to an HLA-A type molecule, said HLA-binding peptide comprising at least one type of amino acid sequence selected from the group consisting of SEQ ID NOS: 1 to 60, and not less than 8 and not more than 11 amino acid residues is provided. Any of the amino acid sequence is predicted to have the binding property to a human HLA-A24 molecule or a human HLA-A2 molecule by a predicting program using an active learning experiment method as illustrated in FIG. 1.

    摘要翻译: 与HLA-A型分子结合的HLA结合肽,所述HLA结合肽包含至少一种选自SEQ ID NO:1至60,不小于8且不小于8的氨基酸序列 提供了11个氨基酸残基。 通过使用如图1所示的主动学习实验方法的预测程序,预测任何氨基酸序列具有与HLA-A24分子或人HLA-A2分子的结合特性。 1。

    Hla-Binding Peptides, Precursors Thereof, Dna Fragments and Recombinant Vectors that Code for Those Peptide Sequences
    12.
    发明申请
    Hla-Binding Peptides, Precursors Thereof, Dna Fragments and Recombinant Vectors that Code for Those Peptide Sequences 审中-公开
    Hla结合肽,其前体,编码这些肽序列的Dna片段和重组载体

    公开(公告)号:US20080249283A1

    公开(公告)日:2008-10-09

    申请号:US11587973

    申请日:2005-04-14

    IPC分类号: C07K7/06 C07H21/04 C12N15/00

    摘要: An HLA-binding peptide binding to an HLA-A type molecule, said HLA-binding peptide comprising at least one type of amino acid sequence selected from the group consisting of SEQ ID NOS: 1 to 183, and not less than 8 and not more than 11 amino acid residues is provided. Any of the amino acid sequence is predicted to have the binding property to a HLA-A type molecule by a predicting program using an active learning experiment method as illustrated in FIG. 1.

    摘要翻译: 与HLA-A型分子结合的HLA结合肽,所述HLA结合肽包含至少一种选自SEQ ID NO:1至183,不小于8且不小于8的氨基酸序列 提供了11个氨基酸残基。 通过使用如图1所示的主动学习实验方法的预测程序,预测任何氨基酸序列具有与HLA-A型分子的结合特性。 1。