Ancestral-Specific Reference Genomes And Uses Thereof
    81.
    发明申请
    Ancestral-Specific Reference Genomes And Uses Thereof 有权
    祖先特异性参考基因组及其用途

    公开(公告)号:US20140067280A1

    公开(公告)日:2014-03-06

    申请号:US13834685

    申请日:2013-03-15

    CPC classification number: G06F19/18 C40B30/02 G06F19/14 G06F19/22

    Abstract: Ancestry has a significant impact on the major and minor alleles found in each nucleotide position within the genome. Due to mechanisms of inheritance, ancestral-specific information contained within the genome is conserved within members of an ancestry. For this reason, individuals within a specific ancestry are more likely to share alleles in their genomes with other members of the same ancestry. Functionally, the combination of alleles at all positions within a group of individuals defines that group as having a common ancestry. Moreover, the aggregation of differences between alleles at all positions distinguishes one ancestry from another. The genomic similarities and differences between ancestries provides a mechanism to generate reference genomes that are specific for each ancestry. Reference genomes that are specific to an ancestry can be used to increase the accuracy of whole genome sequencing, DNA-based diagnostics and therapeutic marker discovery and in a variety of real-world DNA-based applications.

    Abstract translation: 祖先对基因组内每个核苷酸位置发现的主要和次要等位基因具有显着影响。 由于遗传机制,祖先特异性信息包含在基因组内,在祖先的成员中是保守的。 因此,特定祖先的个体更有可能与同一祖先的其他成员共享基因组中的等位基因。 功能上,一组个体内的所有位置上的等位基因的组合将该组定义为具有共同的祖先。 此外,所有位置的等位基因之间的差异的聚集将一个祖先与另一个祖先区分开。 祖先之间的基因组相似性和差异提供了生成对每个祖先特异的参考基因组的机制。 可以使用对祖先特异性的参考基因组来提高全基因组测序,基于DNA的诊断和治疗标记发现的准确性,以及各种真实的基于DNA的应用。

    Predictive scoring function for estimating binding affinity
    88.
    发明授权
    Predictive scoring function for estimating binding affinity 有权
    用于估计结合亲和力的预测评分函数

    公开(公告)号:US08145430B2

    公开(公告)日:2012-03-27

    申请号:US11373684

    申请日:2006-03-10

    CPC classification number: G06F19/706 C40B30/02 G06F19/16 G06F19/18 G06F19/26

    Abstract: A computer-implemented method for calculating a value representative of interaction (VRI) of a proposed ligand with a specified receptor. Hydrophobic interactions between one or more ligand atoms and one or more receptor atoms are scored by a method that awards a bonus for the presence of hydrophobic enclosure of one or more ligand atoms by the receptor. Also, charge-charge hydrogen bonds between a ligand and a receptor are scored by setting a default value for a charge-charge hydrogen bond and awarding a bonus above the default value when one or more specialized predetermined charge-charge hydrogen bond criteria is satisfied. Various charge-charge hydrogen bond criteria are used. Zwitterions, charge, salvation, geometry and electrostatic energy are accounted for.

    Abstract translation: 一种计算机实现的方法,用于计算代表所提及的配体与指定受体的相互作用(VRI)的值。 通过一种方法来评估一个或多个配体原子和一个或多个受体原子之间的疏水相互作用,所述方法为受体的一个或多个配体原子的疏水封闭的存在赋予奖励。 此外,通过设定充电氢氢键的默认值,并且当满足一个或多个专门的预定充电氢键标准时,将奖金高于默认值来评分配体和受体之间的充电氢键。 使用各种充电氢键标准。 两性离子,电荷,溶剂化,几何形状和静电能量。

    INHIBITORS OF TYROSINE KINASE RECEPTOR DIMERIZATION
    90.
    发明申请
    INHIBITORS OF TYROSINE KINASE RECEPTOR DIMERIZATION 有权
    酪氨酸激酶受体二聚体的抑制剂

    公开(公告)号:US20110312919A1

    公开(公告)日:2011-12-22

    申请号:US13157472

    申请日:2011-06-10

    Abstract: The teachings relate to methods of identifying inhibitors of dimerization of tyrosine receptor kinases such as EGFR. The methods comprise providing, on a digital computer, a molecular model comprising a complex of extracellular dimerization domains of an RTK, docking a chemical databases to the molecular model, scoring the compounds comprised by the database, and identifying one or more high-scoring compounds. The methods further comprise testing a compound for RTK inhibitory activity in vitro, and testing a compound for specificity as an RTK inhibitor. Also disclosed are compounds selected by the described methods, and methods of treatment using the compounds. Two compounds (NSC11241 and NSC56452) are disclosed that inhibit EGF receptor kinase activation in a dose-dependent manner.

    Abstract translation: 该教导涉及鉴定酪氨酸受体激酶如EGFR的二聚化抑制剂的方法。 所述方法包括在数字计算机上提供包含RTK的细胞外二聚化结构域的复合物的分子模型,将化学数据库与分子模型对接,评估由数据库包含的化合物,以及鉴定一种或多种高得分化合物 。 所述方法还包括在体外测试化合物的RTK抑制活性,并测试化合物作为RTK抑制剂的特异性。 还公开了通过所述方法选择的化合物和使用该化合物的治疗方法。 公开了以剂量依赖性方式抑制EGF受体激酶活化的两种化合物(NSC11241和NSC56452)。

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