QSAR, Docking, and CoMFA Studies of GSK3 Inhibitors

Author(s): Isela Garcia, Yagamare Fall, Generosa Gomez.

Journal Name: Current Pharmaceutical Design

Volume 16 , Issue 24 , 2010

Become EABM
Become Reviewer

Abstract:

GSK-3 inhibitors are interesting candidates to develop anti-Alzheimer compounds. GSK-3β are also interesting as antiparasitic compounds active against Plasmodium falciparum, Trypanosoma brucei, and Leishmania donovani; the causative agents for Malaria, African Trypanosomiasis and Leishmaniosis. The high number of possible candidates creates the necessity of Quantitative Structure-Activity Relationship models in order to guide the GSK3 (Glycogen Synthase Kinase 3 inhibitor) synthesis. In this work, we revised different computational studies for a very large and heterogeneous series of GSK-3Is. First, we revised QSAR studies with conceptual parameters such as flexibility of rotation, probability of availability, etc. We then used the method of regression analysis and QSAR studies in order to understand the essential structural requirement for binding with receptor. Next, we reviewed 3D-QSAR, CoMFA and CoMSIA with different compounds to find out the structural requirements for GSK-3 inhibitory activity.

Keywords: QSAR, Alzheimer, SAR, parasitic, fungi, anti-Alzheimer compounds, GSK-3, Neurofibrillary tangles (NFTs), Docking, Thiadiazolidinone Derivatives, QSAR Modeling, Indirubin Analogues, Bisarylmaleimides, CDK-2, CDK-4, Image-Based Approach, Indirubin Derivatives, Multi-Target QSAR

Rights & PermissionsPrintExport Cite as

Article Details

VOLUME: 16
ISSUE: 24
Year: 2010
Page: [2666 - 2675]
Pages: 10
DOI: 10.2174/138161210792389225
Price: $58

Article Metrics

PDF: 22