title: MultiP-SChlo: multi-label protein subchloroplast localization prediction with Chou's pseudo amino acid composition and a novel multi-label classifier.
abstract: BACKGROUND
  Identifying protein subchloroplast localization in chloroplast organelle is very helpful for understanding the function of chloroplast proteins. There have existed a few computational prediction methods for protein subchloroplast localization. However, these existing works have ignored proteins with multiple subchloroplast locations when constructing prediction models, so that they can predict only one of all subchloroplast locations of this kind of multilabel proteins.
  
  
  RESULTS
  To address this problem, through utilizing label-specific features and label correlations simultaneously, a novel multilabel classifier was developed for predicting protein subchloroplast location(s) with both single and multiple location sites. As an initial study, the overall accuracy of our proposed algorithm reaches 55.52%, which is quite high to be able to become a promising tool for further studies.
  
  
  METHODS
  An online web server for our proposed algorithm named MultiP-SChlo was developed, which are freely accessible at http://biomed.zzuli.edu.cn/bioinfo/multip-schlo/.
  
  
  BACKGROUND
  pandaxiaoxi@gmail.com or gzli@tongji.edu.cn
  
  
  BACKGROUND
  Supplementary data are available at Bioinformatics online.
authors.affiliation: School of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China and.
authors.forename: Xiao
authors.initials: X
authors.lastname: Wang
authors.affiliation: School of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China and.
authors.forename: Weiwei
authors.initials: W
authors.lastname: Zhang
authors.affiliation: School of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China and.
authors.forename: Qiuwen
authors.initials: Q
authors.lastname: Zhang
authors.affiliation: Department of Control Science and Engineering, Tongji University, Shanghai 201804, China.
authors.forename: Guo-Zheng
authors.initials: GZ
authors.lastname: Li
mesh_terms: D000465:Algorithms; D000596:Amino Acids / Q000737:chemistry*; D060365:Chloroplast Proteins / Q000032:analysis*; D002736:Chloroplasts / Q000378:metabolism*; D020407:Internet; D021381:Protein Transport; D013347:Subcellular Fractions
chemical_list: D000596:Amino Acids; D060365:Chloroplast Proteins