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QSAR Models towards Cholinesterase Inhibitors for the Treatment of Alzheimer’s Disease

Publication Type : Book Chapter

Thematic Areas : Nanosciences and Molecular Medicine

Publisher : Oncology: Breakthroughs in Research and Practice.

Source : Oncology: Breakthroughs in Research and Practice (2016)

Url :

Campus : Kochi

School : Center for Nanosciences

Center : Nanosciences, Amrita Center for Nanosciences and Molecular Medicine Move

Department : Nanosciences and Molecular Medicine

Year : 2016

Abstract : Alzheimer's Disease (AD) is a multifactorial neurological syndrome with the combination of aging, genetic, and environmental factors triggering the pathological decline. Interestingly, the importance of the Acetylcholinesterase (AChE) enzyme has increased due to its involvement in the ß-amyloid peptide fibril formation during AD pathogenesis. In silico technique, QSAR has proven its usefulness in pharmaceutical research for the design/optimization of new chemical entities. Further, QSAR method advanced the scope of rational drug design and the search for the mechanism of drug action. It is a well-established fact that the chemical and pharmaceutical effects of a compound are closely related to its physico-chemical properties, which can be calculated by various methods from the compound structure. This chapter focuses on different Quantitative Structure-Activity Relationship (QSAR) studies carried out for a variety of cholinesterase inhibitors for the treatment of AD. These predictive models will be potentially used for further designing better and safer drugs against AD.

Cite this Research Publication : Dr. Gopi Mohan C. and Gupta, S., “QSAR Models towards Cholinesterase Inhibitors for the Treatment of Alzheimer's Disease”, in Oncology: Breakthroughs in Research and Practice, 2016.

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