Artificial intelligence identifies anti-aging drug candidates targeting ‘zombie’ cells
Integrated Biosciences’ new platform has potential to fuel advances in senolytic anti-aging compounds and longevity research
AI-driven platform built on work pioneered at MIT identifies three candidates with comparable efficacy and superior medicinal chemistry relative to current investigational compounds
Treatment of aged mice reduced number of senescent ‘zombie’ cells and lowered expression of senescence-associated genes
Excerpt from the Press Release:
SAN CARLOS, Calif.–(BUSINESS WIRE)–Integrated Biosciences, a biotechnology company combining synthetic biology and machine learning to target aging, in collaboration with researchers at the Massachusetts Institute of Technology (MIT) and the Broad Institute of MIT and Harvard, today announced results demonstrating the power of artificial intelligence (AI) to discover novel senolytic compounds, a class of small molecules under intense study for their ability to suppress age-related processes such as fibrosis, inflammation and cancer. A new publication authored by company founders in Nature Aging, “Discovering small-molecule senolytics with deep neural networks,” describes the AI-guided screening of more than 800,000 compounds to reveal three drug candidates with comparable efficacy and superior medicinal chemistry properties than those of senolytics currently under investigation.
“This research result is a significant milestone for both longevity research and the application of artificial intelligence to drug discovery,” said Felix Wong, Ph.D., co-founder of Integrated Biosciences and first author of the publication. “These data demonstrate that we can explore chemical space in silico and emerge with multiple candidate anti-aging compounds that are more likely to succeed in the clinic, compared to even the most promising examples of their kind being studied today.”
Senolytics are compounds that selectively induce apoptosis, or programmed cell death, in senescent cells that are no longer dividing. A hallmark of aging, senescent cells have been implicated in a broad spectrum of age-related diseases and conditions including cancer, diabetes, cardiovascular disease, and Alzheimer’s disease.
Click the button below to read the entire Press Release:
Discover What Sets TrialStat Apart From Ordinary EDC Platforms
Click the image or button below to explore our eClinical Suite Platform and discover what sets TrialStat apart from competing EDC platforms.
Request Your Demo Today!
From rapid database build through database lock, we deliver consistent quality on-time and on-budget. Ready to upgrade your eClinical toolkit?