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New study shows machine learning can design multi-target drugs to tackle aging’s systemic complexity - and they actually work.
Scientists often call them dirty drugs. Compounds that bind to multiple targets, meddling with entire systems instead of acting with laser precision. In traditional drug development, this kind of behavior is a red flag. It suggests unpredictable effects, unwanted side actions, regulatory headaches. So pharmaceutical companies have mostly discarded them.
But what if dirty drugs are, in fact, potent weapons against aging?
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