Study on AI for discovery of senolytics makes the news
A recently published paper in Nature Communications has been reported by The Times, and Sky News
Cellular senescence is a stress response involved in ageing and diverse disease processes including cancer and Alzheimer’s disease.
Senolytics are compounds that selectively kill these 'zombie cells' which accumulate as people mature.
A collaborative team of scientists led by Vanessa Smer-Barreto, in the group of Diego Oyarzun at The University of Edinburgh, identified three senolytics using cost-effective machine learning algorithms trained solely on published data.
This approach led to significant reduction in drug screening costs and demonstrates that artificial intelligence can take maximum advantage of small and diverse drug screening data.
Crucially this paves the way for new open science approaches to early-stage drug discovery.
Diego Oyarzun | BioMolecular Control Group