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Prediction of Anti‐Alzheimer's Activity of Flavonoids Targeting Acetylcholinesterase in silico

Overview of attention for article published in Phytochemical Analysis, February 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#14 of 674)
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

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1 news outlet
blogs
1 blog
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1 X user

Citations

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41 Dimensions

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63 Mendeley
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Title
Prediction of Anti‐Alzheimer's Activity of Flavonoids Targeting Acetylcholinesterase in silico
Published in
Phytochemical Analysis, February 2017
DOI 10.1002/pca.2679
Pubmed ID
Authors

Subrata Das, Monjur A. Laskar, Satyajit D. Sarker, Manabendra D. Choudhury, Prakash Roy Choudhury, Abhijit Mitra, Shajarahtunnur Jamil, Siti Mariam A. Lathiff, Siti Awanis Abdullah, Norazah Basar, Lutfun Nahar, Anupam D. Talukdar

Abstract

Prenylated and pyrano-flavonoids of the genus Artocarpus J. R. Forster & G. Forster are well known for their acetylcholinesterase (AChE) inhibitory, anti-cholinergic, anti-inflammatory, anti-microbial, anti-oxidant, anti-proliferative and tyrosinase inhibitory activities. Some of these compounds have also been shown to be effective against Alzheimer's disease. The aim of the in silico study was to establish protocols to predict the most effective flavonoid from prenylated and pyrano-flavonoid classes for AChE inhibition linking to the potential treatment of Alzheimer's disease. Three flavonoids isolated from Artocarpus anisophyllus Miq. were selected for the study. With these compounds, Lipinski filter, ADME/Tox screening, molecular docking and quantitative structure-activity relationship (QSAR) were performed in silico. In vitro activity was evaluated by bioactivity staining based on the Ellman's method. In the Lipinski filter and ADME/Tox screening, all test compounds produced positive results, but in the target fishing, only one flavonoid could successfully target AChE. Molecular docking was performed on this flavonoid, and this compound gained the score as -13.5762. From the QSAR analysis the IC50 was found to be 1659.59 nM. Again, 100 derivatives were generated from the parent compound and docking was performed. The derivative compound 20 was the best scorer, i.e. -31.6392 and IC50 was predicted as 6.025 nM. Results indicated that flavonoids could be efficient inhibitors of AChE and thus, could be useful in the management of Alzheimer's disease. Copyright © 2017 John Wiley & Sons, Ltd.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Pakistan 1 2%
Unknown 62 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 11%
Student > Ph. D. Student 6 10%
Student > Master 6 10%
Student > Doctoral Student 5 8%
Lecturer 5 8%
Other 14 22%
Unknown 20 32%
Readers by discipline Count As %
Chemistry 12 19%
Pharmacology, Toxicology and Pharmaceutical Science 5 8%
Medicine and Dentistry 5 8%
Agricultural and Biological Sciences 4 6%
Biochemistry, Genetics and Molecular Biology 4 6%
Other 8 13%
Unknown 25 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 May 2017.
All research outputs
#2,302,464
of 24,565,648 outputs
Outputs from Phytochemical Analysis
#14
of 674 outputs
Outputs of similar age
#48,095
of 428,935 outputs
Outputs of similar age from Phytochemical Analysis
#1
of 7 outputs
Altmetric has tracked 24,565,648 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 674 research outputs from this source. They receive a mean Attention Score of 2.7. This one has done particularly well, scoring higher than 97% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 428,935 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them