中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Eigenvalue analysis of peroxisome proliferator-activated receptor gamma agonists

文献类型:期刊论文

作者Liao, CZ; Xie, AH; Shi, LM; Zhou, JJ; Lu, XP
刊名JOURNAL OF CHEMICAL INFORMATION AND COMPUTER SCIENCES
出版日期2004
卷号44期号:1页码:230-238
关键词molecular similarity indexes thiazolidinedione antihyperglycemic agents beta-phenylpropanoic acids ppar-gamma ligand-binding biological-activity crystal-structure eva descriptor field analysis qsar
ISSN号0095-2338
其他题名J. Chem. Inf. Comput. Sci.
中文摘要Eigenvalue analysis (EVA) was conducted on a series of Potent agonists of peroxisome proliferator-activated receptor gamma (PPARgamma). Predictive EVA quantitative structure-activity relationship (QSAR) models were established using the SYBYL package, which had conventional r(2) and cross-validated coefficient (q(2)) values up to 0.920 and 0.587 for the AM1 method and 0.863 and 0.586 for the PM3 method, respectively. These models were validated by, a test set containing 18 compounds. The capability to predict by these two models for PPARgamma agonists, with the. best predictive r(pred)(2) value of 0.614 for AM1 and 0.822 for PM3 methods, set a successful example for applying a similar approach in building QSAR models for PPARalpha and -delta that could potentially offer a new opportunity in the design of novel PPAR modulators.
英文摘要Eigenvalue analysis (EVA) was conducted on a series of Potent agonists of peroxisome proliferator-activated receptor gamma (PPARgamma). Predictive EVA quantitative structure-activity relationship (QSAR) models were established using the SYBYL package, which had conventional r(2) and cross-validated coefficient (q(2)) values up to 0.920 and 0.587 for the AM1 method and 0.863 and 0.586 for the PM3 method, respectively. These models were validated by, a test set containing 18 compounds. The capability to predict by these two models for PPARgamma agonists, with the. best predictive r(pred)(2) value of 0.614 for AM1 and 0.822 for PM3 methods, set a successful example for applying a similar approach in building QSAR models for PPARalpha and -delta that could potentially offer a new opportunity in the design of novel PPAR modulators.
WOS标题词Science & Technology ; Physical Sciences ; Technology
类目[WOS]Chemistry, Multidisciplinary ; Computer Science, Information Systems ; Computer Science, Interdisciplinary Applications
研究领域[WOS]Chemistry ; Computer Science
关键词[WOS]MOLECULAR SIMILARITY INDEXES ; THIAZOLIDINEDIONE ANTIHYPERGLYCEMIC AGENTS ; BETA-PHENYLPROPANOIC ACIDS ; PPAR-GAMMA ; LIGAND-BINDING ; BIOLOGICAL-ACTIVITY ; CRYSTAL-STRUCTURE ; EVA DESCRIPTOR ; FIELD ANALYSIS ; QSAR
收录类别SCI
原文出处://WOS:000188794600028
语种英语
WOS记录号WOS:000188794600028
公开日期2013-11-05
版本出版稿
源URL[http://ir.ipe.ac.cn/handle/122111/4927]  
专题过程工程研究所_研究所(批量导入)
作者单位1.Tsing Hua Univ, Res Inst, Chipscreen Biosci Ltd, Guangdong 518057, Peoples R China
2.Chinese Acad Sci, Inst Proc Engn, Beijing 100080, Peoples R China
推荐引用方式
GB/T 7714
Liao, CZ,Xie, AH,Shi, LM,et al. Eigenvalue analysis of peroxisome proliferator-activated receptor gamma agonists[J]. JOURNAL OF CHEMICAL INFORMATION AND COMPUTER SCIENCES,2004,44(1):230-238.
APA Liao, CZ,Xie, AH,Shi, LM,Zhou, JJ,&Lu, XP.(2004).Eigenvalue analysis of peroxisome proliferator-activated receptor gamma agonists.JOURNAL OF CHEMICAL INFORMATION AND COMPUTER SCIENCES,44(1),230-238.
MLA Liao, CZ,et al."Eigenvalue analysis of peroxisome proliferator-activated receptor gamma agonists".JOURNAL OF CHEMICAL INFORMATION AND COMPUTER SCIENCES 44.1(2004):230-238.

入库方式: OAI收割

来源:过程工程研究所

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。