Extraction of structure-activity relationship information from high-throughput screening data.
The wealth of biological screening data that is generated poses substantial problems to medicinal chemistry. A key question becomes how to best prioritize and select hits for further evaluation from the many weakly active compounds that are typically identified in HTS campaigns. Such decisions can be substantially supported if it is possible to evaluate preliminary structure-activity relationship (SAR) information that might be contained in screening data. If SAR information can be extracted from screening data, one can attempt to estimate the chemical optimization potential of hits. We will discuss different types of approaches that have been developed to facilitate HTS data analysis, with special emphasis on recent methods to explore SAR information contained in screening sets.
Wawer
Mathias
M
Department of Life Science Informatics, B-IT, LIMES Program Unit Chemical Biology & Medicinal Chemistry, Rheinische Friedrich-Wilhelms-Universität, Dahlmannstr 2, D-53113 Bonn, Germany.
Bajorath
Jürgen
J
D002626:Chemistry, Pharmaceutical / Q000379:methods; D020650:Combinatorial Chemistry Techniques / Q000379:methods*; D004353:Drug Evaluation, Preclinical / Q000379:methods*; D006801:Humans; D048088:Informatics / Q000379:methods*; D013329:Structure-Activity Relationship