Microrna as ligands and target molecules
    5.
    发明申请
    Microrna as ligands and target molecules 审中-公开
    Microrna作为配体和靶分子

    公开(公告)号:US20050142581A1

    公开(公告)日:2005-06-30

    申请号:US10934798

    申请日:2004-09-03

    摘要: The present invention provides methods for the identification of target molecules that bind to ligands, particularly microRNA ligands and mimics thereof and/or microRNA target molecules and mimics thereof, with as little as millimolar (mM) affinity using mass spectrometry. The methods may be used to determine the mode of binding interaction between two or more of these target molecules to the ligand as well as their relative affinities. Also provided are methods for designing compounds having greater affinity to a ligand by identifying two or more target molecules using mass spectrometry methods of the invention and linking the target molecules together to form a novel compound.

    摘要翻译: 本发明提供用于使用质谱法以少至毫摩尔(mM)亲和力鉴定结合配体,特别是微小RNA配体及其模拟物和/或微小RNA靶分子及其模拟物的靶分子的方法。 该方法可用于确定这些靶分子中两个或更多个与配体之间的结合相互作用的模式以及它们的相对亲和力。 还提供了通过使用本发明的质谱方法鉴定两个或更多个靶分子并将靶分子连接在一起以形成新化合物来设计对配体具有更大亲和力的化合物的方法。

    Rapid identification of microbial agents
    10.
    发明申请
    Rapid identification of microbial agents 审中-公开
    快速鉴定微生物剂

    公开(公告)号:US20060259249A1

    公开(公告)日:2006-11-16

    申请号:US11073362

    申请日:2005-03-03

    IPC分类号: G06F19/00

    CPC分类号: G16B40/00 G16B25/00 G16B30/00

    摘要: The method described herein relate generally the identification of bioagents on the basis of base composition signatures for bioagent-identifying amplicons. Specifically, methods of the present invention are directed to the application of pattern recognition models, particularly probability pattern classifiers, to the identification of both known and previously unrecognized bioagents. In certain embodiments, the pattern classifiers relate to probability cloud patterns, such as mutational probability patterns. In other embodiments the pattern classifiers relate to polytope pattern models.

    摘要翻译: 本文所述的方法一般涉及基于用于生物鉴别扩增子的碱基组成特征的生物标记的鉴定。 具体地,本发明的方法涉及模式识别模型,特别是概率模式分类器在识别已知和以前未被认识的生物标签的应用。 在某些实施例中,模式分类器涉及概率云模式,例如突变概率模式。 在其他实施例中,模式分类器涉及多面体图案模型。