title: Multisite protein subcellular localization prediction based on entropy density.
abstract: Protein subcellular localization prediction is currently receiving much attention in the field of protein research. Many researchers make great efforts to study single-site protein subcellular localization, but the experimental data shows that many proteins can be found in two or more sub-cellular locations, prompting the study of multisite protein sub-cellular localization. This study utilized a Gpos-mPLOC data set and pseudo amino acid compositions, physicochemical properties of amino acid composition, and entropy density as three effective feature extraction methods. Then, these features were then placed in a multi-label k nearest neighbor classifier to predict subcellular protein locations. Experimental results verified that this approach provides a localization precision of 66.73% through the Jack-knife test.
authors.affiliation: School of Information Science and Engineering, University of Jinan, Jinan, P.R. China.
authors.forename: Qing
authors.initials: Q
authors.lastname: Zhao
authors.affiliation: School of Information Science and Engineering, University of Jinan, Jinan, P.R. China.
authors.forename: Dong
authors.initials: D
authors.lastname: Wang
authors.affiliation: School of Information Science and Engineering, University of Jinan, Jinan, P.R. China.
authors.forename: Yuehui
authors.initials: Y
authors.lastname: Chen
authors.affiliation: School of Information Science and Engineering, University of Jinan, Jinan, P.R. China.
authors.forename: Xumi
authors.initials: X
authors.lastname: Qu
mesh_terms: D000465:Algorithms; D000595:Amino Acid Sequence; D000596:Amino Acids / Q000032:analysis; D001426:Bacterial Proteins / Q000032:analysis*; D019277:Entropy; D006094:Gram-Positive Bacteria / Q000737:chemistry / Q000166:cytology*; D008969:Molecular Sequence Data; D040901:Proteomics
chemical_list: D000596:Amino Acids; D001426:Bacterial Proteins
keywords: Multisite; entropy density; multi-label k nearest neighbor; physicochemical propertiess; pseudo amino acid composition