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    • 3. 发明授权
    • Method for selecting an optimally diverse library of small molecules based on validated molecular structural descriptors
    • 基于经验证的分子结构描述符选择小分子的最佳多样文库的方法
    • US07184893B2
    • 2007-02-27
    • US09776708
    • 2001-02-05
    • Richard D. CramerRobert D. Clark
    • Richard D. CramerRobert D. Clark
    • G01N33/48G06F7/00G06G7/48
    • C40B50/02B01J2219/007C40B30/02G06F19/704Y10S707/99943
    • The use for biological screening purposes of a subset (library) of a large combinatorially accessible chemical universe increases the efficiency of the screening process only if the subset contains members representative of the total diversity of the universe. In order to insure inclusion in the subset of molecules representing the total diversity of the universe under consideration, valid molecular descriptors which quantitatively reflect the diversity of the molecules in the universe are required. A unique validation method is used to examine both a new three dimensional steric metric and some prior art metrics. With this method, the relative usefulness/validity of individual metrics can be ascertained from their application to randomly selected literature data sets. By the appropriate application of validated metrics, the method of this invention selects a subset of a combinatorial accessible chemical universe such that the molecules of the subset are representative of all the diversity present in the universe and yet do not contain multiple members which represent the same diversity (oversample). The use of the neighborhood definition of a validated metric may also be used to combine (without oversampling the same diversity) any number of combinatorial screening libraries.
    • 用于大型组合可访问化学宇宙的子集(库)的生物筛选目的仅在子集包含代表宇宙总体多样性的成员时提高筛选过程的效率。 为了确保包含在表示所考虑的宇宙总体多样性的分子子集中,需要定量反映宇宙中分子多样性的有效分子描述符。 一种独特的验证方法用于检查新的三维空间度量和一些现有技术的度量。 使用这种方法,可以从其应用于随机选择的文献数据集中确定各个度量的相对有用性/有效性。 通过适当应用经验证的度量,本发明的方法选择组合可访问化学宇宙的子集,使得该子集的分子代表存在于宇宙中的所有分集,但不包含表示相同的多个成员 多样性(过度抽样)。 使用验证度量的邻域定义也可以用于组合(不过采样相同的多样性)任意数量的组合筛选库。