title: Using motifs in the prediction of eukaryotic protein subcellular localization.
abstract: Subcellular location of a protein is one of the key functional characters as proteins must be localized correctly at the subcellular level to have normal biological functions. In this paper, all motifs in PROSITE were examined and those that are indicative to eukaryotic protein subcellular localizations were picked out. A corresponding motif module was built and combined to our former work: LOCSVMPSI. Prediction results of this combined method were compared to LOCSVMPSI as well as several other existing methods for subcellular localization. The combined method achieved highest overall prediction accuracy among all listed methods and improved the over-all and each-location accuracies of LOCSVMPSI by 3%-8%. Further analysis indicates the combined motif method is very effective in eukaryotic protein subcellular localization prediction.
authors.affiliation: Department of Electronic Science and Technology, University of Science and Technology of China, Hefei, P R, China.
authors.forename: Dan
authors.initials: D
authors.lastname: Xie
authors.forename: Ao
authors.initials: A
authors.lastname: Li
authors.forename: Xiaojun
authors.initials: X
authors.lastname: Lin
authors.forename: Minghui
authors.initials: M
authors.lastname: Wang
authors.forename: Zhaohui
authors.initials: Z
authors.lastname: Jiang
authors.forename: Huanqing
authors.initials: H
authors.lastname: Feng