↓ Skip to main content

Aging

Article Metrics

Towards natural mimetics of metformin and rapamycin

Overview of attention for article published in Aging, November 2017
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#28 of 2,573)
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
14 news outlets
blogs
2 blogs
twitter
19 tweeters
facebook
3 Facebook pages
video
1 video uploader

Citations

dimensions_citation
50 Dimensions

Readers on

mendeley
98 Mendeley
Title
Towards natural mimetics of metformin and rapamycin
Published in
Aging, November 2017
DOI 10.18632/aging.101319
Pubmed ID
Authors

Alexander Aliper, Leslie Jellen, Franco Cortese, Artem Artemov, Darla Karpinsky-Semper, Alexey Moskalev, Andrew G. Swick, Alex Zhavoronkov

Abstract

Aging is now at the forefront of major challenges faced globally, creating an immediate need for safe, widescale interventions to reduce the burden of chronic disease and extend human healthspan. Metformin and rapamycin are two FDA-approved mTOR inhibitors proposed for this purpose, exhibiting significant anti-cancer and anti-aging properties beyond their current clinical applications. However, each faces issues with approval for off-label, prophylactic use due to adverse effects. Here, we initiate an effort to identify nutraceuticals-safer, naturally-occurring compounds-that mimic the anti-aging effects of metformin and rapamycin without adverse effects. We applied several bioinformatic approaches and deep learning methods to the Library of Integrated Network-based Cellular Signatures (LINCS) dataset to map the gene- and pathway-level signatures of metformin and rapamycin and screen for matches among over 800 natural compounds. We then predicted the safety of each compound with an ensemble of deep neural network classifiers. The analysis revealed many novel candidate metformin and rapamycin mimetics, including allantoin and ginsenoside (metformin), epigallocatechin gallate and isoliquiritigenin (rapamycin), and withaferin A (both). Four relatively unexplored compounds also scored well with rapamycin. This work revealed promising candidates for future experimental validation while demonstrating the applications of powerful screening methods for this and similar endeavors.

Twitter Demographics

The data shown below were collected from the profiles of 19 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 98 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 28 29%
Student > Ph. D. Student 15 15%
Student > Bachelor 15 15%
Student > Master 8 8%
Other 4 4%
Other 14 14%
Unknown 14 14%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 25 26%
Agricultural and Biological Sciences 14 14%
Medicine and Dentistry 11 11%
Pharmacology, Toxicology and Pharmaceutical Science 7 7%
Engineering 4 4%
Other 17 17%
Unknown 20 20%

Attention Score in Context

This research output has an Altmetric Attention Score of 127. 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 15 May 2021.
All research outputs
#190,211
of 17,729,196 outputs
Outputs from Aging
#28
of 2,573 outputs
Outputs of similar age
#6,998
of 420,813 outputs
Outputs of similar age from Aging
#2
of 37 outputs
Altmetric has tracked 17,729,196 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,573 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.6. This one has done particularly well, scoring higher than 98% 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 420,813 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.