DeepMind's improved protein-folding prediction AI could accelerate drug discovery

It's these genetic definitions that circumscribe their three-dimensional structures, which in turn determines their capabilities. But protein "folding," as it's called, is notoriously difficult to figure out from a corresponding genetic sequence alone. DNA contains only information about chains of amino acid residues and not those chains' final form. In December 2018, DeepMind attempted to tackle the challenge of protein folding with a machine learning system called AlphaFold. The product of two years of work, the Alphabet subsidiary said at the time that AlphaFold could predict structures more precisely than prior solutions.