Using search engine technology for protein function prediction Online publication date: Sat, 24-Jan-2015
by Ziyang Chen, Zhao Cai, Min Li, Binbin Liu
International Journal of Bioinformatics Research and Applications (IJBRA), Vol. 7, No. 1, 2011
Abstract: Prediction of protein function is one of the most challenging problems in the post-genomic era. In this paper, we propose a novel algorithm Improved ProteinRank (IPR) for protein function prediction, which is based on the search engine technology and the preferential attachment criteria. In addition, an improved algorithm IPRW is developed from IPR to be used in the weighted protein–protein interaction (PPI) network. The proposed algorithms IPR and IPRW are applied to the PPI network of S.cerevisiae. The experimental results show that both IPR and IPRW outweigh the previous methods for the prediction of protein functions.
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