New platform holds the promise to drive progress in the development of senolytic anti-aging compounds and research on longevity.
A recent paper published in Nature Aging by researchers from Integrated Biosciences, a biotechnology company combining synthetic biology and machine learning to combat aging. The paper demonstrates how artificial intelligence (AI) can be utilized to identify new senolytic compounds. These are a class of small molecules receiving significant attention due to their potential to inhibit aging-related processes like fibrosis, inflammation, and cancer.
The research paper is the result of a collaborative effort involving researchers from the Massachusetts Institute of Technology (MIT) and the Broad Institute of MIT and Harvard. The publication outlines the AI-led analysis of over 800,000 compounds, which successfully identified three potential drugs with comparable efficacy and superior medicinal chemistry properties to those of senolytics currently under investigation.
