Method of construction and selection of virtual libraries in combinatorial chemistry
    1.
    发明公开
    Method of construction and selection of virtual libraries in combinatorial chemistry 审中-公开
    一种用于在组合化学制备和虚拟存储库的选择过程

    公开(公告)号:EP1628234A1

    公开(公告)日:2006-02-22

    申请号:EP04425416.7

    申请日:2004-06-07

    IPC分类号: G06F19/00

    CPC分类号: C40B50/02 G06F19/16

    摘要: A method of construction and selection of virtual libraries in combinatorial chemistry is described, comprising the steps of: preparing a three-dimensional structure of a target macromolecule (PROT); determining one or more receptor sites of the macromolecular target (PROT); creating a first virtual library (300) of compounds starting with at least one input library (100;200); calculating a plurality of molecular descriptors for each molecule of the first virtual library (300), generating a second virtual library (400) containing each molecule of the first library (100; 200; 50) and the values of the molecular descriptors; selecting a representative subset (500) of the second virtual library (400); calculating for each molecule belonging to the representative subset a value of a quantity ( E dock ) associated with the formation of a bond between the target macromolecule (PROT) and each molecule belonging to the representative subset (500); and obtaining by way of simulation through "Machine Learning" methods for each molecule of a plurality of molecules of the second virtual library (400) and not belonging to the representative subset (500) a value of the quantity ( E dock ) associated with the formation of a bond between the macromolecular target (PROT) and each molecule of a plurality of molecules not belonging to the representative subset (500).

    摘要翻译: 描述构造和组合化学文库虚拟选择的方法,包括以下步骤:制备一个靶大分子(PROT)的三维结构; 大分子靶的确定性开采的一个或多个受体结合位点(PROT); 创建化合物的第一虚拟库(300)开始的至少一个输入库(100; 200); 计算分子描述符的多个用于第一虚拟库(300)的每个分子,生成包含所述第一文库的每个分子中的第二虚拟库(400)(100; 200; 50)和分子描述符的值; 选择所述第二虚拟库(400)的代表子集(500); 计算对于属于代表子集的量(E坞)的值与目标大分子(PROT)和属于代表子集(500)的每个分子之间的键的形成相关联的每个分子; 和通过对属于代表子集(500)与所述相关联的量(E坞)的值的第二虚拟库(400),而不是分子的多个每分子“机器学习”方法,通过模拟的方式获得 形成大分子靶(PROT)和不属于该代表子集(500)的分子的多个每个分子之间的键的。