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    • 51. 发明申请
    • Computer systems and methods for identifying surrogate markers
    • 用于识别替代标记的计算机系统和方法
    • US20070185656A1
    • 2007-08-09
    • US10558928
    • 2004-05-28
    • Eric Schadt
    • Eric Schadt
    • G06F19/00
    • G01N33/5023G01N33/5082G01N33/6803G01N2500/00
    • Methods, computer program products and systems for identifying cellular constituents in a secondary tissue that serve as surrogate markers for a target gene expressed in a primary tissue of a species are provided. A classifier is constructed using cellular constituent abundances of cellular constituents in a first plurality of cellular constituents measured in the secondary tissue in a population. This population comprises a first and second subgroup. The classifier is based on a second plurality of cellular constituents that comprises all or a portion of the first plurality of cellular constituents. Abundance levels of each cellular constituent in the second plurality of cellular constituents varies between the first and second subgroup. All or portion of the population is classified into a plurality of subtypes using the classifier. Then, one or more cellular constituents that can discriminate members of the population between a first subtype and a second subtype in the plurality of subtypes are identified.
    • 提供了用于鉴定作为在物种的初级组织中表达的靶基因的替代标记物的次级组织中的细胞成分的计算机程序产品和系统。 在群体中的次级组织中测量的第一多个细胞成分中,使用细胞组分的细胞组成丰度构建分类器。 该群体包括第一和第二子群。 分类器基于包含第一多个细胞成分的全部或一部分的第二多个细胞成分。 第二多个细胞组分中每个细胞成分的丰度水平在第一和第二亚组之间变化。 使用分类器将全部或部分群体分类为多个亚型。 然后,识别可以区分多个亚型中的第一亚型和第二亚型之间的群体成员的一个或多个细胞组分。
    • 52. 发明申请
    • Methods for identifying modulators of kinesin activity
    • 识别驱动蛋白活性调节剂的方法
    • US20070134660A1
    • 2007-06-14
    • US10558463
    • 2004-05-28
    • Mao MaoPeter LinsleyCarolyn BuserChristopher Marshall
    • Mao MaoPeter LinsleyCarolyn BuserChristopher Marshall
    • C12Q1/68G01N33/574A61K31/175
    • G01N33/5011A61K31/175A61K38/00C12Q1/34G01N33/573G01N33/57415
    • In a first aspect, the invention provides methods for screening for modulators of a target protein, comprising the steps of contacting a target protein with a candidate agent and determining whether the candidate agent modulates the activity of the target protein, wherein the target protein comprises a sequence that has more than 80% amino acid sequence identity to KIF14 (SEQ ID NO:2) or the KIF14 motor domain (SEQ ID NO:3). In a second aspect, the invention provides methods for modulating cell proliferation comprising administering to a cell an effective amount of a modulator of the activity of a target protein. Some embodiments of this aspect provide methods for treating a subject with a cellular hyperproliferation disorder, such as cancer. In a third aspect, the invention provides methods for identifying candidate subjects for treatment with an inhibitor of the activity of a target protein.
    • 在第一方面,本发明提供了筛选靶蛋白的调节剂的方法,包括以下步骤:使靶蛋白与候选试剂接触并确定候选试剂是否调节靶蛋白的活性,其中靶蛋白包含 与KIF14(SEQ ID NO:2)或KIF14运动结构域(SEQ ID NO:3)具有80%以上氨基酸序列同一性的序列。 在第二方面,本发明提供了调节细胞增殖的方法,包括向细胞施用有效量的靶蛋白活性的调节剂。 该方面的一些实施方案提供了用细胞过度增殖病症如癌症治疗受试者的方法。 在第三方面,本发明提供用于鉴定候选受试者用靶蛋白活性抑制剂治疗的方法。
    • 55. 发明授权
    • Computer systems and computer programs for determining protein activity levels using gene expression profiles
    • 使用基因表达谱测定蛋白质活性水平的计算机系统和计算机程序
    • US07130746B2
    • 2006-10-31
    • US09975843
    • 2001-10-12
    • Stephen H. FriendRoland Stoughton
    • Stephen H. FriendRoland Stoughton
    • G01N33/48G06F19/00G06G7/48
    • C07K14/4702A61K38/00
    • The present invention provides methods for determining the level of protein activity in a cell by: (i) measuring abundances of cellular constituents in a cell in which the activity of a specific protein is to be determined so that a diagnostic profile is thus obtained; (ii) measuring abundances of cellular constituents that occur in a cell in response to perturbations in the activity of said protein to obtain response profiles and interpolating said response profiles to generate response curves; and (iii) determining a protein activity level at which the response profile extracted from the response curves best fits the measured diagnostic profile, according to some objective measure. In alternative embodiments, the present invention also provides methods for identifying individuals having genetic mutations or polymorphisms that disrupt protein activity, and methods for identifying drug activity in vivo by determining the activity levels of proteins which interact with said drugs.
    • 本发明提供了通过以下步骤确定细胞中蛋白质活性水平的方法:(i)测量要确定特定蛋白质的活性的细胞中细胞成分的丰度,从而获得诊断特征; (ii)测量在细胞中发生的细胞成分的丰度以响应所述蛋白质的活动中的扰动以获得反应谱并内插所述响应谱以产生响应曲线; 和(iii)根据一些客观的测定,确定从响应曲线提取的反应曲线最适合测量的诊断谱的蛋白质活性水平。 在替代实施方案中,本发明还提供了用于鉴定具有破坏蛋白质活性的遗传突变或多态性的个体的方法,以及通过测定与所述药物相互作用的蛋白质的活性水平来鉴定体内药物活性的方法。
    • 58. 发明授权
    • Method and system for analyzing biological response signal data
    • 分析生物反应信号数据的方法和系统
    • US06847897B1
    • 2005-01-25
    • US09469360
    • 1999-12-22
    • Douglas Bassett, Jr.Andrey Bondarenko
    • Douglas Bassett, Jr.Andrey Bondarenko
    • G01N33/48G06F3/048G06F17/30G06F19/20G06F19/24G06F19/26G06F19/28G06Q50/00G06F19/00
    • G06F19/26G06F19/20G06F19/24G06F19/28G06F2221/2145
    • A system, method, and computer program product for enhanced computer-aided analysis of biological response data is disclosed. In a preferred embodiment, biological datasets are graphically selected by a user from a first active biological viewer window on a user computer display and projected onto one or more other active biological viewers on the display. The selected data is highlighted in the destination biological viewers using contrast or color differentiation from other data appearing in the destination windows. In another preferred embodiment, hierarchical cluster trees from biological signal profiles are presented in a hyperbolic display fashion. In another preferred embodiment, biological menu and submenu items utilized by the user computer are not stored in the user computer, but rather are stored a central biological response database. Biological menus and submenus are generated at startup time based on queries to the central biological response database, allowing for increased flexibility, changeability, and customization of the biological menus. In another preferred embodiment, correlation data between biological signal profile data is precomputed when the experiments are added to the central biological response database, eliminating the need for real time computation of correlation coefficients by the user computer.
    • 公开了一种用于增强生物反应数据计算机辅助分析的系统,方法和计算机程序产品。 在优选实施例中,生物数据集由用户从用户计算机显示器上的第一活动生物观察者窗口图形地选择并投影到显示器上的一个或多个其他活跃生物观察者上。 所选数据在目的地生物观察者中使用与出现在目的地窗口中的其他数据进行对比或颜色分化来突出显示。 在另一个优选实施例中,来自生物信号轮廓的分层丛树以双曲显示方式呈现。 在另一个优选实施例中,由用户计算机使用的生物菜单和子菜单项不存储在用户计算机中,而是存储在中央生物反应数据库中。 基于对中央生物反应数据库的查询,生物菜单和子菜单在启动时生成,允许提高生物菜单的灵活性,可变性和定制性。 在另一个优选实施例中,当将实验添加到中心生物反应数据库时,生物信号特征数据之间的相关数据被预先计算,消除了用户计算机对相关系数的实时计算的需要。