Ahmed Hany E A, Geppert Hanna, Stumpfe Dagmar, Lounkine Eugen, Bajorath Jürgen
Department of Life Science Informatics, B-IT, LIMES Program Unit Chemical Biology and Medicinal Chemistry, Rheinische Friedrich-Wilhelms-Universität Bonn, Dahlmannstr. 2, D-53113 Bonn, Germany.
Chem Biol Drug Des. 2009 Mar;73(3):273-82. doi: 10.1111/j.1747-0285.2009.00784.x.
For the computational exploration of structure-selectivity relationships, a compound selectivity system consisting of 243 antagonists of ionotropic glutamate ligand-gated ion channels was designed. Selected antagonists were organized in nine different selectivity sets. In systematic selectivity search calculations utilizing these data sets, structural fingerprints produced a significant enrichment of selective compounds over non-selective molecules and database decoys. The molecular basis of these findings was explored in detail. Fingerprint bit settings characteristic of antagonists with different selectivity profiles were identified and the corresponding structural features were correlated with sets of molecular fragments derived from selective and non-selective antagonists following a hierarchical fragmentation strategy separating aromatic and aliphatic core structure elements and substituents. This analysis rationalized the selectivity search performance of structural fingerprints and revealed structural motifs that are selectivity markers for different types of ion channel antagonists.
为了对结构-选择性关系进行计算探索,设计了一个由243种离子型谷氨酸配体门控离子通道拮抗剂组成的化合物选择性系统。所选拮抗剂被组织成九个不同的选择性集。在利用这些数据集进行的系统选择性搜索计算中,结构指纹图谱使选择性化合物相对于非选择性分子和数据库诱饵有显著富集。对这些发现的分子基础进行了详细探索。确定了具有不同选择性特征的拮抗剂的指纹位设置,并将相应的结构特征与按照分层碎片化策略从选择性和非选择性拮抗剂衍生的分子片段集相关联,该策略将芳香族和脂肪族核心结构元素及取代基分开。该分析使结构指纹图谱的选择性搜索性能合理化,并揭示了作为不同类型离子通道拮抗剂选择性标记的结构基序。