Journal
MINI-REVIEWS IN MEDICINAL CHEMISTRY
Volume 12, Issue 6, Pages 583-591Publisher
BENTHAM SCIENCE PUBL LTD
DOI: 10.2174/138955712800493744
Keywords
AChE inhibitors; QSAR; 3D-QSAR; linear discriminant analysis; fragments
Categories
Funding
- Portuguese Fundacao para a Ciencia e a Tecnologia (FCT) [PTDC/QUI-QUI/113687/2009, Pest-C/EQB/LA0006/2011]
- FCT [SFRH/BPD/63666/2009]
- European Social Found
- Fundação para a Ciência e a Tecnologia [PTDC/QUI-QUI/113687/2009] Funding Source: FCT
Ask authors/readers for more resources
Alzheimer's disease (AD) is a neurodegenerative disorder characterized by progressive dementia and loss of cognitive abilities. Until now, AD remains incurable. The principal biological target for AD therapy is acetylcholinesterase (AChE). Thus, the search for new drug candidates like AChE inhibitors constitutes an essential part for the discovery of more potent anti-AD agents. In general terms, rational drug design methodologies have played a decisive role. The present work is focused on the current state of the Ligand-Based Drug Design (LBDD) methods which have been applied to the elucidation of new molecular entities with high anti-AChE activity. Also, as a contribution to this field, we suggest a promising fragment-based approach for the search and prediction of new AChE inhibitors and for the fast and efficient extraction of substructural alerts which are responsible for the anti-AChE activity.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available