New publication by Martin Lercher
The rate of biochemical transformations catalysed by an enzyme is shaped by the enzyme’s affinity for its substrate, quantified by a Michaelis constant. A new article in PLOS Biology by the group of Martin Lercher shows how these constants can be predicted accurately using artificial intelligence, harnessing deep learning representations of molecular structures.