Mills J E, Dean P M
Department of Pharmacology, University of Cambridge, U.K.
J Comput Aided Mol Des. 1996 Dec;10(6):607-22. doi: 10.1007/BF00134183.
An extensive crystal survey of the Cambridge Structural Database has been carried out to provide hydrogen-bond data for use in drug-design strategies. Previous crystal surveys have generated 1D frequency distributions of hydrogen-bond distances and angles, which are not sufficient to model the hydrogen bond as a ligand-receptor interaction. For each hydrogen-bonding group of interest to the drug designer, geometric hydrogen-bond criteria have been derived. The 3D distribution of complementary atoms about each hydrogen-bonding group has been ascertained by dividing the space about each group into bins of equal volume and counting the number of observed hydrogen-bonding contacts in each bin. Finally, the propensity of each group to form a hydrogen bond has been calculated. Together, these data can be used to predict the potential site points with which a ligand could interact and therefore could be used in molecular-similarity studies, pharmacophore query searching of databases, or de novo design algorithms.
对剑桥结构数据库进行了广泛的晶体调查,以提供用于药物设计策略的氢键数据。以前的晶体调查生成了氢键距离和角度的一维频率分布,这不足以将氢键模拟为配体 - 受体相互作用。对于药物设计师感兴趣的每个氢键基团,已经推导了几何氢键标准。通过将每个基团周围的空间划分为等体积的 bins 并计算每个 bin 中观察到的氢键接触数,确定了每个氢键基团周围互补原子的三维分布。最后,计算了每个基团形成氢键的倾向。这些数据一起可用于预测配体可能相互作用的潜在位点,因此可用于分子相似性研究、数据库的药效团查询搜索或从头设计算法。