Neural network scours vast chemical space to design drug-delivering peptides

An image showing a long helical, rainbow-coloured structure

Source: © MIT

Oligonucleotide drug activity boosted 50-fold with peptide designed by machine learning algorithm

Large biomolecule drugs’ great promise is held back because it’s hard to get them into cells – but now US researchers have used machine learning to tackle this problem. They developed Peptimizer, a machine learning model that designs cell-penetrating peptides (CPPs) that improve oligonucleotide drug delivery into cells 50-fold.