期刊
JOURNAL OF MOLECULAR GRAPHICS & MODELLING
卷 56, 期 -, 页码 91-102出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.jmgm.2014.12.003
关键词
Glucokinase enzyme; Pharmacophore modeling; Quantitative structure activity relationship; In-silico screening; In vitro assay
类别
资金
- Hamdi-Mango Center for Scientific Research at the University of Jordan
Glucokinase (GK) has received recent interest as a valid antidiabetic target. With this in mind, we applied a computational workflow based on combining pharmacophore modeling and QSAR analysis followed by in silico screening toward the discovery of novel GK activators. Virtual screening identified 10 promising bioactivators from the National Cancer Institute (NCI) list of compounds. The most potent NCI hit illustrated 6.3-fold GK activation at 10 mu M. These results demonstrated that our virtual screening protocol was able to identify novel GK activator leads for subsequent development into potential antidiabetic agents. (C) 2014 Elsevier Inc. All rights reserved.
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