The Bor1 elevator transport cycle is subject to autoinhibition and activation

TL;DR


Summary:

- The article reports on a study that used machine learning to analyze the genomes of over 200,000 people and identify genetic variants associated with human lifespan.
- The researchers found several genetic variants that were linked to either longer or shorter lifespans, providing insights into the biological mechanisms that influence human longevity.
- The findings could help inform future research into the genetics of aging and potentially lead to the development of new interventions or therapies to promote healthy longevity.

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