Department of Life Science Informatics, B-IT, LIMES Program Unit Chemical Biology and Medicinal Chemistry, Rheinische Friedrich-Wilhelms-Universität, D-53113 Bonn, Germany.
Drug Discov Today. 2009 Jul;14(13-14):698-705. doi: 10.1016/j.drudis.2009.04.003. Epub 2009 May 3.
The problem of how to explore structure-activity relationships (SARs) systematically is still largely unsolved in medicinal chemistry. Recently, data analysis tools have been introduced to navigate activity landscapes and to assess SARs on a large scale. Initial investigations reveal a surprising heterogeneity among SARs and shed light on the relationship between 'global' and 'local' SAR features. Moreover, insights are provided into the fundamental issue of why modeling tools work well in some cases, but not in others.
在药物化学中,如何系统地探索构效关系(SAR)仍然是一个尚未完全解决的问题。最近,数据分析工具已被引入,以在大规模活动景观中导航和评估 SAR。初步调查揭示了 SAR 之间令人惊讶的异质性,并阐明了“全局”和“局部”SAR 特征之间的关系。此外,还深入探讨了建模工具在某些情况下效果良好而在其他情况下效果不佳的根本原因。