Systematic identification of protein function is a key problem in current biology. Most traditional methods fail to identify functionally equivalent proteins if they lack similar sequences, structural data or extensive manual annotations. In this thesis, I focused on feature engineering and machine learning methods for identifying diverse classes of proteins that share functional relatedness but little sequence or structural similarity, notably, Neuropeptide Precursors (NPPs). I aim to identify functional protein …