Protein Superfamily Building Methods Comparison

With the enormous amount of sequence data generated from the genome projects, function prediction and sequence annotation become critical for understanding and effectively utilizing the information potentially available. Classifying unknown sequences into appropriate, well curated families plays an important role in fulfilling such a task. Here, we compare several protein superfamily building algorithms and propose a new strategy to improve the current methods.