MultiP-SChlo: multi-label protein subchloroplast localization prediction with Chou’s pseudo amino acid composition and a novel multi-label classifier

• DOI: 10.1093/bioinformatics/btv212
• Publication Date: 2015-04-22T00:31:35Z
• Authors: Xiao Wang; Weiwei Zhang; Qiuwen Zhang; Guo-Zheng Li
• Keywords: Chloroplast Proteins; Internet; Protein Transport; Chloroplasts; 0206 medical engineering; 02 engineering and technology; Amino Acids; Algorithms; Subcellular Fractions

Identifying protein subchloroplast localization in chloroplast organelle is very helpful for understanding the function of proteins. There have existed a few computational prediction methods localization. However, these existing works ignored proteins with multiple locations when constructing models, so that they can predict only one all this kind multilabel proteins.To address problem, through utilizing label-specific features and label correlations simultaneously, novel classifier was developed predicting location(s) both single location sites. As an initial study, overall accuracy our proposed algorithm reaches 55.52%, which quite high to be able become promising tool further studies.An online web server named MultiP-SChlo developed, are freely accessible at http://biomed.zzuli.edu.cn/bioinfo/multip-schlo/[e-mail] or [e-mail] data available Bioinformatics online.