Ai Predicts The Work Rate Of Enzymes

Researchers from Heinrich Heine University Düsseldorf have developed a tool called TurNuP, which uses AI methods to predict the turnover number (kcat) of various enzymes. The tool converts information about the enzymes and catalysed reactions into numerical vectors using deep learning models, which are then used as input for a machine learning model to predict the kcat turnover numbers. TurNuP outperforms previous models and can even be used successfully for enzymes with low similarity.