ARGOT², Annotation Retrieval of Genel Ontology Terms, \cite{Falda_2012} is a protein function predictor that uses a combined approach, much like INGA. Falda et al. recognize that any single approach can introduce inaccuracies and have various reliability issues. ARGOT² is an attempt to improve this by retrieving GO annotations from both a BLAST search and a HMMR \cite{Durbin} search against the Pfam database. Once the GO annotations are retrieved, it utilizes a "clustering process of GO terms dependent on their semantic similarities and a weighting scheme which assesses retrieved hits sharing a certain degree of biological features with the sequence to annotate." \cite{terms} ARGOT2 scored in the top ten for molecular function and biological process in the CAFA2 challenge.