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Xeronine structure and function: computational comparative mastery of its mystery

Overview of attention for article published in In Silico Pharmacology, September 2017
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Title
Xeronine structure and function: computational comparative mastery of its mystery
Published in
In Silico Pharmacology, September 2017
DOI 10.1007/s40203-017-0028-y
Pubmed ID
Authors

David Morakinyo Sanni, Toluwase Hezekiah Fatoki, Ayodele Oluseyi Kolawole, Afolabi Clement Akinmoladun

Abstract

Morinda citrifolia (Noni) fruit has a long history of dietary use in tropical regions of the world. Pharmacological properties that have been attributed to the fruit include anti-inflammatory, anti-cancer, and antioxidant properties. Xeronine, a small alkaloid which has been patented (US4543212) is one of the bioactive compounds of Noni fruit, which is believed to be capable of modifying the molecular structure of specific inactive proteins thereby regulating proper folding to active enzymes. Despite reports of the potential of Xeronine as therapeutic agent, its presence is controversial and its structure has not been explored. In this study, standard chemoinformatics tools and servers such as ChemSketch, ChemMine, Swisstargetprediction, SwissADME and Swisssimilarity have been employed to predict its possible structure. In addition, synthetic xeronine structures based on the known bioactive components of Noni fruit were designed. Results showed that the hypothetical structure of xeronine provided by the patent inventor is a mystery based on its <5% probable protein targets and no similarity match to the US Food and Drug Administration (FDA) approved drugs and experimental compounds by in silico evaluation. By constrast, final designed xeronine structure possess all the features that were described in the patent document, and has >40% probable protein targets related to neurodegenerative diseases such as Alzheimer's disease (AD), which possibly justifies the key function stated in the patent.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 53 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 7 13%
Student > Bachelor 6 11%
Student > Master 5 9%
Researcher 4 8%
Student > Ph. D. Student 4 8%
Other 9 17%
Unknown 18 34%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 13%
Chemistry 5 9%
Agricultural and Biological Sciences 4 8%
Medicine and Dentistry 4 8%
Pharmacology, Toxicology and Pharmaceutical Science 4 8%
Other 13 25%
Unknown 16 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 24 October 2017.
All research outputs
#20,450,513
of 23,006,268 outputs
Outputs from In Silico Pharmacology
#57
of 76 outputs
Outputs of similar age
#276,290
of 316,390 outputs
Outputs of similar age from In Silico Pharmacology
#5
of 5 outputs
Altmetric has tracked 23,006,268 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 76 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 316,390 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one.