Abstract Motivation As experimental efforts are costly and time consuming, computational characterization of enzyme capabilities is an attractive alternative. We present evaluate several machine-learning models to predict which 983 distinct enzymes, as defined via the Enzyme Commission (EC) numbers, likely interact with a given query molecule. Our data consists enzyme-substrate interactions fro...
