AI-assisted Discovery of Three Novel Senolytic Compounds as Antiaging Compounds

AI identifies new antiaging senolytic candidates

The potential of AI to discover novel senolytics has been demonstrated by new research conducted by scientists at MIT, the Broad Institute of MIT & Harvard and biotech Integrated Biosciences.

Longevity. Technology: Senolytics, small molecules, suppress age-related processes like fibrosis and inflammation. The senescent cell – also known as the ‘zombie cells’ – are cells that have stopped dividing and emit toxic chemicals. They are an indication of aging. Senescent cells are linked to a variety of age-related illnesses, such as cancer, cardiovascular diseases, diabetes, and Alzheimer’s. But senolytics can combat them by selectively causing apoptosis, or programmed death, in these zombies cells. This new research reduced the number of senescent cells and lowered the expression of senescence-associated genes in aged mice, results which, the authors say \”underscore the promise of leveraging deep learning to discover senotherapeutics\” [1].

AI-guided screening led to the identification and evaluation of three drug candidates. These were compared to senolytics that are currently being investigated, and found to be comparable in efficacy, but with superior medicinal chemistry [1].

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AI identifies three new antiaging senolytic candidates