A multi-label classifier for predicting the subcellular localization of gram-negative bacterial proteins with both single and multiple sites.

ABSTRACT: Prediction of protein subcellular localization is a challenging problem, particularly when the system concerned contains both singleplex and multiplex proteins. In this paper, by introducing the "multi-label scale" and hybridizing the information of gene ontology with the sequential evolution information, a novel predictor called iLoc-Gneg is developed for predicting the subcellular localization of gram-positive bacterial proteins with both single-location and multiple-location sites. For facilitating comparison, the same stringent benchmark dataset used to estimate the accuracy of Gneg-mPLoc was adopted to demonstrate the power of iLoc-Gneg. The dataset contains 1,392 gram-negative bacterial proteins classified into the following eight locations: (1) cytoplasm, (2) extracellular, (3) fimb

SUBMITTER: Xiao X 

PROVIDER: S-EPMC3117797 | biostudies-literature | 2011

REPOSITORIES: biostudies-literature