In this top-performing research paper published by Aging on November 15, 2017, entitled, “Towards natural mimetics of metformin and rapamycin,” researchers used powerful screening methods to analyze over 800 natural compounds to assess their anti-aging potential and safety profile in an effort to mimic metformin and rapamycin.

In 2017, researchers from the United States’ Insilico Medicine, Inc. and Life Extension, the United Kingdom’s Biogerontology Research Foundation, Canada’s Queen’s University, and Russia’s Russian Academy of Sciences, worked together to test a new strategy to accelerate the development of safe, wide-scale anti-aging nutraceuticals.

“One strategy to hasten the process has been the repurposing of existing, FDA-approved drugs that show off-label anti-cancer and anti-aging potential, and at the top of that list are metformin and rapamycin, two drugs that mimic caloric restriction.”

To date, this paper has generated an Altmetric Attention score of 127. Altmetric Attention scores provide an at-a-glance indication of the volume and type of online attention the research has received.

Top Aging publications rated by Altmetric score - https://www.aging-us.com/news_room/altmetric

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DOI - http://doi.org/10.18632/aging.101319

Full text - https://www.aging-us.com/article/101319/text

Correspondence to: Alexander Aliper email: [email protected]

Keywords: geroprotector, metformin, rapamycin, deep learning, natural, nutraceutical, compound screening, aging

About Aging

Launched in 2009, Aging publishes papers of general interest and biological significance in all fields of aging research and age-related diseases, including cancer—and now, with a special focus on COVID-19 vulnerability as an age-dependent syndrome. Topics in Aging go beyond traditional gerontology, including, but not limited to, cellular and molecular biology, human age-related diseases, pathology in model organisms, signal transduction pathways (e.g., p53, sirtuins, and PI-3K/AKT/mTOR, among others), and approaches to modulating these signaling pathways.

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