Sequential pattern mining for protein function prediction

Abstract

The prediction of protein sequence function is one of the problems arising in the recent progress in bioinformatics. Traditional methods have its limits. We present a novel method of protein sequence function prediction based on sequential pattern mining. First, we use our designed sequential pattern mining algorithms to mine known function sequence dataset. Then, we build a classifier using the patterns generated to predict function of protein sequences. Experiments confirm the effectiveness of our method. © 2008 Springer-Verlag Berlin Heidelberg.