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个人信息Personal Information
副教授
硕士生导师
性别:女
毕业院校:大连理工大学
学位:博士
所在单位:化工学院
电子邮箱:yanli@dlut.edu.cn
Structural Determinants of CX-4945 Derivatives as Protein Kinase CK2 Inhibitors: A Computational Study
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论文类型:期刊论文
发表时间:2011-10-01
发表刊物:INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
收录刊物:Scopus、SCIE
卷号:12
期号:10
页面范围:7004-7021
ISSN号:1422-0067
关键字:CK2 inhibitors; 3D-QSAR; molecular docking; molecular dynamics
摘要:Protein kinase CK2, also known as casein kinase-2, is involved in a broad range of physiological events including cell growth, proliferation and suppression of apoptosis which are related to human cancers. A series of compounds were identified as CK2 inhibitors and their inhibitory activities varied depending on their structures. In order to explore the structure-activity correlation of CX-4945 derivatives as inhibitors of CK2, in the present study, a set of ligand- and receptor-based 3D-QSAR models were developed employing Comparative Molecular Field Analysis (CoMFA) and Comparative Molecular Similarity Index Analysis (CoMSIA). The optimum CoMFA (R-cv(2) = 0.618, R-pred(2) = 0.892) and CoMSIA (R-cv(2) = 0.681, R-pred(2) = 0.843) models exhibited reasonable statistical characteristics for CX-4945 derivatives. The results indicated that electrostatic effects contributed the most to both CoMFA and CoMSIA models. The combination of docking analysis and molecular dynamics (MD) simulation showed that Leu45, Lys68, Glu81, Val116, Asp175 and Trp176 of CK2 which formed several direct or water-bridged H-bonds with CX-4945 are crucial for CX-4945 derivatives recognition to CK2. These results can offer useful theoretical references for designing more potent CK2 inhibitors.
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