Pharmacophore modeling and in silico screening for new KDR kinase inhibitors

被引:20
|
作者
Yu, Hui
Wang, Zhanli
Zhang, Liangren
Zhang, Jufeng
Huang, Qian [1 ]
机构
[1] Shanghai Jiao Tong Univ, Peoples Hosp 1, Cent Expt Lab, Shanghai 200080, Peoples R China
[2] NeoTrident Technol Ltd, Ctr Technol, Beijing 100080, Peoples R China
[3] Peking Univ, Sch Pharmaceut Sci, Beijing 100083, Peoples R China
关键词
KDR kinase; CATALYST; pharmacophore; conformational analysis;
D O I
10.1016/j.bmcl.2007.01.089
中图分类号
R914 [药物化学];
学科分类号
100701 ;
摘要
In order to elucidate the essential structural features for KDR kinase inhibitors, three-dimensional pharmacophore hypotheses were built on the basis of a set of known KDR kinase inhibitors selected from the literature with CATALYST program. Several methods tools used in validation of pharmacophore hypothsis were presented, and the first hypothesis (Hypol) was considered to be the best pharmacophore hypothesis. The model (Hypol) was then employed as 3D search query to screen the Traditional Chinese Medicine Database (TCMD) for other potential lead compounds. One hit illustrated high binding affinity with KDR kinase measured by the surface plasmon resonance biosensor. Docking studies may help elucidate the mechanisms of KDR kinase receptor ligand interactions. (c) 2007 Elsevier Ltd. All rights reserved.
引用
收藏
页码:2126 / 2133
页数:8
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