首页> 外国专利> Procedure for structure-based virtual screening of biologically active compounds, comprises categorizing and/or sorting the compounds in catalogue on the basis of their physicochemical and/or geometrical and/or structural characteristics

Procedure for structure-based virtual screening of biologically active compounds, comprises categorizing and/or sorting the compounds in catalogue on the basis of their physicochemical and/or geometrical and/or structural characteristics

机译:用于生物活性化合物的基于结构的虚拟筛选的程序,包括基于化合物的理化和/或几何和/或结构特征对化合物进行分类和/或分类

摘要

The procedure for sub-linear structure-based virtual screening of biologically active compounds (molecules), comprises categorizing and/or sorting (1) the compounds in catalogue on the basis of their physicochemical and/or geometrical and/or structural characteristics, determining (2) the characteristics of a biological target, determining (3) the catalogue or the parts of the catalogue, which match the determined characteristics of the target, and screening (4) of the compounds in the parts of the catalogue against the target. The procedure for sub-linear structure-based virtual screening of biologically active compounds, comprises categorizing and/or sorting (1) the compounds in catalogue on the basis of their physicochemical and/or geometrical and/or structural characteristics, determining (2) the characteristics of a biological target, determining (3) the catalogue or the parts of the catalogue, which match the determined characteristics of the target, and screening (4) of the compounds in the parts of the catalogue against the target. The characteristics of the target represent the structure of the bonding site of a receptor or a relative orientation in relation to the target of the active compounds or a biological activity of the target. The characteristics of the target and/or the compounds are described by descriptors (target- and/or molecule descriptor). The descriptors are sorted according to their characteristic values and are administered with standardized index structures such as B-trees. The descriptors describe the physicochemical and/or geometrical and/or structural characteristics of triplets of functional groups of compounds and/or a target and direction-dependent conditions or preferred orientation of functional groups of a compounds and/or a target with respect to atomic coordinates. The preferred orientations of a functional group in the triplet are described by centering of a local coordinate system in the functional group and alignment of the coordinate system with respect to other functional groups. The preferred orientation of a functional group relative to a local coordinate system, is described by Euler angles with respect to the axes of the local coordinate system. Areas for the side lengths are defined by triangles and Euler angles, which are considered within the characteristics of compounds-descriptor as compatible to the conditions of a target-descriptor. The compounds are divided into fragments and are examined and/or scanned with respect to their conformation to identify the relative spatial position of functional groups in the compounds and/or in the fragments and to identify the spatial position of interaction centers of the compounds and/or interaction centers of the fragments. The fragment-interaction triangles for each fragment-conformers are formed by triplets of interaction centers of the fragments and describe the physicochemical and/or geometrical and/or structural characteristics of fragment-conformers using a molecule-descriptor. Favorable interaction centers are looked into the binding sites of the receptor and/or target for functional groups of compounds. A set of interaction triangles for positions or places of the target, is defined by triplets of the site interaction centers, and the descriptors of the interaction triangles describe the required fragments-interaction centers (FIAC) types, the FIAC intervals in pairs and the FIAC interaction directions for a fragment, whose interaction centers are overlaid with the site interaction centers of the interaction triangles of the target. All positions- or site-interaction triangles of the receptor are processed, and the conditions of each interaction triangle of the target under the consideration of a suitable tolerance range in positive and negative direction, are converted into an index range-inquiry of a table of the fragment-interaction triangles of the compounds. Each target stored in a hit-list is shifted by an algorithm into a placement of the fragment-conformers or complete molecule in the bonding site of the receptor. An examination of steric fits for each placement of each fragment-conformer in the binding site of the receptor, are carried out and the bonding affinity for each placement is evaluated. The fragments, which belong to which compounds are evaluated, and if necessary the combinations of placements of different fragments of the same compounds are identified, which is realized with compounds-conformation. The measure of the affinity of placed and evaluated fragments, is used in order to set up a ranking of the compounds, which shows a valid placement. The catalogue is stored in a virtual library of a data base of a computer program. One of the target descriptors is defined in such a way that it is used for the inquiry of the stored catalogue. An independent claim is included for a computer program with program code for carrying out the procedure for structure-based virtual screening of biologically active compounds.
机译:基于亚线性结构的生物活性化合物(分子)虚拟筛选的程序包括,根据化合物的理化和/或几何和/或结构特征,对化合物进行分类和/或分类(1)在目录中,确定( 2)生物靶标的特征,确定(3)与所确定的靶标特征相匹配的目录或目录部分,并针对该靶标筛选(4)目录中各部分的化合物。基于亚线性结构的生物活性化合物的虚拟筛选过程包括:根据化合物的理化和/或几何和/或结构特征对化合物分类和/或分类(1)在目录中,确定(2)生物靶标的特征,确定(3)与所确定的靶标特征相匹配的目录或目录部分,并针对靶标筛选(4)目录中部分化合物。靶的特征表示受体的结合位点的结构或相对于活性化合物的靶的相对取向或靶的生物活性。靶标和/或化合物的特征由描述符(靶标和/或分子描述符)描述。根据描述符的特征值对描述符进行排序,并使用标准化索引结构(例如B树)进行管理。描述符描述了化合物的官能团和/或靶标的三联体的物理化学和/或几何和/或结构特征和与原子相关的化合物和/或靶标的方向依赖性条件或优选取向的条件。 。通过将局部坐标系在功能组中居中以及坐标系相对于其他功能组的对齐方式来描述三元组中功能组的首选方向。相对于局部坐标系的官能团的优选取向由相对于局部坐标系的轴的欧拉角描述。边长的区域由三角形和欧拉角定义,在化合物-描述符的特征范围内认为它们与目标描述符的条件兼容。将化合物分为片段,并对其构象进行检查和/或扫描,以识别化合物和/或片段中官能团的相对空间位置,并识别化合物相互作用中心的空间位置和/或碎片的相互作用中心。每个片段构象异构体的片段相互作用三角形由片段的相互作用中心的三联体形成,并使用分子描述符描述片段构象异构体的物理化学和/或几何和/或结构特征。有利的相互作用中心被研究到化合物功能基团的受体和/或靶标的结合位点。由目标交互中心的三元组定义了一组用于目标位置或位置的交互三角形,并且这些交互三角形的描述符描述了所需的片段-交互中心(FIAC)类型,成对的FIAC间隔和FIAC片段的相互作用方向,其相互作用中心与目标相互作用三角形的站点相互作用中心重叠。处理受体的所有位置或位置相互作用三角形,并在考虑正负方向上合适的公差范围的情况下,将目标的每个相互作用三角形的条件转换为表格的索引范围查询化合物的碎片相互作用三角形。通过算法将存储在命中列表中的每个目标转移到片段构象异构体或完整分子在受体结合位点的位置。检查每个片段构象异构体在受体结合位点的每个位置的空间拟合,并评估每个位置的键合亲和力。评估属于哪个化合物的片段,并在必要时鉴定同一化合物不同片段的位置组合,这可以通过化合物构象实现。为了确定化合物的等级,使用了放置和评估的片段的亲和力的量度,显示有效的展示位置。该目录存储在计算机程序数据库的虚拟库中。目标描述符之一的定义方式使得它可以用于查询已存储的目录。包括具有程序代码的计算机程序的独立权利要求,该程序代码用于执行用于对生物活性化合物进行基于结构的虚拟筛选的程序。

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