Computational Studies on Acetylcholinesterase Inhibitors: From Biochemistry to Chemistry

2020 ◽  
Vol 20 (14) ◽  
pp. 1403-1435 ◽  
Author(s):  
Kiran Bagri ◽  
Ashwani Kumar ◽  
Manisha ◽  
Parvin Kumar

Acetylcholinesterase inhibitors are the most promising therapeutics for Alzheimer’s disease treatment as these prevent the loss of acetylcholine and slows the progression of the disease. The drugs approved for the management of Alzheimer’s disease by the FDA are acetylcholinesterase inhibitors but are associated with side effects. Consistent and stringent efforts by the researchers with the help of computational methods opened new ways of developing novel molecules with good acetylcholinesterase inhibitory activity. In this manuscript, we reviewed the studies that identified the essential structural features of acetylcholinesterase inhibitors at the molecular level as well as the techniques like molecular docking, molecular dynamics, quantitative structure-activity relationship, virtual screening, and pharmacophore modelling that were used in designing these inhibitors.

2015 ◽  
Vol 14 (06) ◽  
pp. 1550040 ◽  
Author(s):  
Anuradha Sharma ◽  
Poonam Piplani

Alzheimer's disease (AD) is the most common cause of dementia in old aged people and clinically used drugs for treatment are associated with side effects. Thus, there is a current demand for the discovery and development of new potential molecules. However, the recent advances in drug therapy have challenged the predominance of the disease. In this manuscript, an attempt has been made to develop the 2D and 3D quantitative structure–activity relationship (QSAR) models for a series of rutaecarpine, quinazolines and 7,8-dehydrorutaecarpine derivatives to obtain insights to Acetylcholinesterase (AChE) inhibition. Five different QSAR models have been generated and validated using a set of 52 compounds comprising of varying scaffolds with IC50 values ranging from 11,000 nM to 0.6 nM. These AChE-specific prediction models (M1–M5) adequately reflect the structure–activity relationship of the existing AChE inhibitors. Out of all developed models, QSAR model generated using ADME properties has been found to be the best with satisfactory statistical significance (regression (r2) of 0.9309 and regression adjusted coefficient of variation [Formula: see text] of 0.9194). The QSAR models highlight the importance of aromatic moiety as their presence in the structure influence the biological activity. Additional insights on the compounds show that acyclic amines attached to side chain have lower activity than cyclic amines. The QSAR models pinpointing structural basis for the AChEIs suggest new guidelines for the design of novel molecules.


2021 ◽  
Vol 28 ◽  
Author(s):  
Érika Paiva de Moura ◽  
Natan Dias Fernandes ◽  
Alex France Messias Monteiro ◽  
Herbert Igor Rodrigues de Medeiros ◽  
Marcus Tullius Scotti ◽  
...  

Background: Alzheimer's disease (AD) is a very common neurodegenerative disorder in individuals over 65 years of age, however, younger individuals can also be affected due to early brain damage. Introduction: The general symptoms of this disease include progressive loss of memory, changes in behavior, deterioration of thinking, and gradual loss of ability to perform daily activities. According to the World Health Organization, dementia has affected more than 50 million people worldwide, and it is estimated that there are 10 million new cases per year, of which 70% are due to AD. Methods: This paper reported a review of scientific articles available on the internet, which discussed in silico analyzes, such as molecular docking, molecular dynamics, and quantitative structure-activity relationship (QSAR) of different classes of natural products and their derivatives published from 2016 onwards. In addition, this work reports the potential of fermented papaya preparation against oxidative stress in AD. Results: With this research, it is expected that it will highlight the most recent studies about AD, the computational analysis methods used in proposing new bioactive and their possible molecular targets, and finally, the molecules or classes of natural products involved in each study. Conclusion: Thus, studies like this can orientate new works against neurodegenerative diseases, especially AD.


2020 ◽  
Vol 11 (37) ◽  
pp. 10243-10254 ◽  
Author(s):  
Geewoo Nam ◽  
Mannkyu Hong ◽  
Juri Lee ◽  
Hyuck Jin Lee ◽  
Yonghwan Ji ◽  
...  

The structural features of flavonoids responsible for their versatile reactivities against four pathogenic elements of Alzheimer's disease were identified.


2021 ◽  
Author(s):  
William L. Neumann ◽  
Karin E. Sandoval ◽  
Shirin Mobayen ◽  
Mahsa Minaeian ◽  
Stephen G. Kukielski ◽  
...  

3,4,5-Trisubstituted-1,2,4-triazole somatostatin receptor-4 agonist SAR.


Molecules ◽  
2015 ◽  
Vol 20 (12) ◽  
pp. 22084-22101 ◽  
Author(s):  
Jan Korabecny ◽  
Martin Andrs ◽  
Eugenie Nepovimova ◽  
Rafael Dolezal ◽  
Katerina Babkova ◽  
...  

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