New publication by Martin Lercher


A new article in PLOS Biology by the group of CEPLAS member Martin Lercher shows how an enzyme's affinity for its substrate can be predicted.

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. 


Martin Lercher

Heinrich Heine University
University of Cologne
Max Planck Institute for Plant Breeding Research
Forschungszentrum Jülich