QSAR studies for the pharmacological inhibition of glycogen synthase kinase-3

被引：0

作者：

Duchowicz, Pablo R. ^{[1
]}

Castro, Eduardo A. ^{[1
]}

机构：

[1] Natl Univ La Plata, Sackler Fac Exact Sci, Res Inst Theoret & Appl Phys Chem, Theoret Chem Div,Chem Dept, RA-1900 Buenos Aires, DF, Argentina

来源：

MEDICINAL CHEMISTRY | 2007年 / 3卷 / 04期

关键词：

QSAR theory; glycogen synthase kinase-3; phosphorylation; CoMFA/CoMSIA; partial least squares; multivariable; linear regression; artificial neural network; CYCLIN-DEPENDENT KINASES; MOLECULAR SIMILARITY INDEXES; PROTEIN-KINASE; SELECTIVE INHIBITORS; POTENT INHIBITORS; ALZHEIMERS-DISEASE; GSK-3; INHIBITORS; CRYSTAL-STRUCTURE; STRUCTURAL REQUIREMENTS; PHYSICAL-PROPERTIES;

D O I：

暂无

中图分类号：

R914 [药物化学];

学科分类号：

100701 ;

摘要：

The enzyme GSK-3 plays a central role in cells during the phosphorylation of various key regulatory proteins, and consequently pharmacological inhibitors of this enzyme potentially allow the treatment of diseases that include neurodegenerative and bipolar affective disorders, diabetes, and diseases caused by unicellular parasites. Today there is a huge number of reported empirical structure-activity relationships (SAR) that may guide a rational design of more potent and selective inhibitors. However, only a few studies based on Quantitative Structure-Activity Relationships (QSAR) are available for predicting the inhibitor potency against this specific kinase, and they involve mainly molecular modeling and 3D-QSAR. The present review deals with the recent search for a quantitative analysis of GSK-3 inhibition.

引用

页码：393 / 417

页数：25

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