Unknown functions of microbial enzymes represent a knowledge gap in metagenomic and metabolomic studies of the human gut microbiome.

Annotation of enzymes in the human gut microbiota is a daunting task, but it is necessary to understand how the microbiota affects host health and disease.

Omics data, including metagenomic, metabolomic, transcriptomic, and metatranscriptomic data, can be leveraged to predict enzyme functions using different bioinformatics approaches.

Joint approaches using different methods can reduce the number of candidates and predict function more accurately.