Table of Contents Author Guidelines Submit a Manuscript
BioMed Research International
Volume 2016 (2016), Article ID 4525786, 5 pages
http://dx.doi.org/10.1155/2016/4525786
Research Article

Positive-Unlabeled Learning for Pupylation Sites Prediction

1School of Electronic Engineering, Dongguan University of Technology, Dongguan 523808, China
2School of Control Science and Engineering, Dalian University of Technology, Dalian 116024, China

Received 11 May 2016; Revised 26 June 2016; Accepted 5 July 2016

Academic Editor: Qin Ma

Copyright © 2016 Ming Jiang and Jun-Zhe Cao. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Supplementary Material

The ‘Uniprot_AC’ means the accession number of protein in Uniprot database; ‘Site’ means lysine sites in the protein; the ‘Sore’ means SVM sore, and the higher SVM score indicates more reliable pupylation site.

  1. Supplementary Material