AI tool dramatically reduces computing power needed to find protein-binding molecules

A new machine learning tool for sifting small molecules in search of good candidates to bind specific proteins requires far less computing power than previous tools. The researchers, who identified several molecules that could potentially act as drugs, hope that the model’s high-throughput screening potential could rapidly identify small-molecule ligands for every druggable target in the human genome, dramatically speeding up pharmaceutical innovation.