New publications


In two new papers CEPLAS member Martin Lercher and his team (HHU) describe how to predict enzymatic reactions using AI methods.

For most proteins annotated as enzymes, it is unknown which primary and/or secondary reactions they catalyze.

In one of the papers, published in the Journal Nature Communications, the researchers present TurNuP, a general and organism-independent model that successfully predicts turnover numbers for natural reactions of wild-type enzymes.

Press Release

Read publication

In the other paper, also published in Nature Communications, they present ESP, a general machine-learning model for the prediction of enzyme-substrate pairs.

Read publication