Predicting subcellular localization of proteins in a hybridization space

1 Motivation: The localization of a protein in a cell is closely correlated with its biological function. With the number of sequences entering into databanks has been rapidly increasing, the importance of developing a powerful high-throughput tool to determine protein subcellular location has become self-evident. In view of this, the Nearest Neighbour Algorithm was developed for predicting the protein subcellular location using the strategy by hybridizing the information derived from the recent development in gene ontology with that from the functional domain compositio