Feldman Howard J, Dumontier Michel, Ling Susan, Haider Norbert, Hogue Christopher W V
The Blueprint Initiative of the Samuel Lunenfeld Research Institute, Mount Sinai Hospital, 600 University Ave., Toronto, ON, Canada.
FEBS Lett. 2005 Aug 29;579(21):4685-91. doi: 10.1016/j.febslet.2005.07.039.
A novel chemical ontology based on chemical functional groups automatically, objectively assigned by a computer program, was developed to categorize small molecules. It has been applied to PubChem and the small molecule interaction database to demonstrate its utility as a basic pharmacophore search system. Molecules can be compared using a semantic similarity score based on functional group assignments rather than 3D shape, which succeeds in identifying small molecules known to bind a common binding site. This ontology will serve as a powerful tool for searching chemical databases and identifying key functional groups responsible for biological activities.
一种基于化学官能团的新型化学本体论由计算机程序自动、客观地分配,用于对小分子进行分类。它已应用于PubChem和小分子相互作用数据库,以证明其作为基本药效团搜索系统的实用性。可以使用基于官能团分配而非三维形状的语义相似性得分来比较分子,这成功地识别出已知结合共同结合位点的小分子。这种本体论将成为搜索化学数据库和识别负责生物活性的关键官能团的有力工具。