| Literature DB >> 21090651 |
Jian-Sung Wu1, Yi-Hui Peng, Jiun-Ming Wu, Chieh-Jui Hsieh, Szu-Huei Wu, Mohane Selvaraj Coumar, Jen-Shin Song, Jinq-Chyi Lee, Chi-Hui Tsai, Chiung-Tong Chen, Yu-Wei Liu, Yu-Sheng Chao, Su-Ying Wu.
Abstract
A ligand-based virtual screening strategy (a combination of pharmacophore model generation, shape-based scoring, and structure clustering analysis) was developed to discover novel SGLT2 inhibitors. The best pharmacophore model, generated from eight glycoside inhibitors, was utilized to virtually screen three chemical databases that led to the identification of three non-glycoside SGLT2 inhibitors. This is the first report of the generation of a pharmacophore model from glycosides that has then been used to discover novel non-glycosides hits.Entities:
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Year: 2010 PMID: 21090651 DOI: 10.1021/jm101080v
Source DB: PubMed Journal: J Med Chem ISSN: 0022-2623 Impact factor: 7.446