Identifies multiple lysine post-translational modification (PTM) sites and their different types. iPTM-mLys represents the first multi-label PTM predictor ever established. The novel predictor is featured by incorporating the sequence-coupled effects into the general PseAAC, and by fusing an array of basic random forest classifiers into an ensemble system. Rigorous cross-validations via a set of multi-label metrics indicate that the first multi-label PTM predictor is very promising and encouraging.
Computer Department, Jingdezhen Ceramic Institute, Jingdezhen, China; Department of Computer Science and Bond Life Science Center, University of Missouri, Columbia, MO, USA; Gordon Life Science Institute, Boston, MA, USA; Center of Bioinformatics, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China; Center of Excellence in Genomic Medicine Research (CEGMR), King Abdulaziz University, Jeddah, Saudi Arabia
iPTM-mLys funding source(s)
This work was partially supported by the National Nature Science Foundation of China (No. 61261027, 31260273, 61300139, 31560316), the Natural Science Foundation of Jiangxi Province, China (No. 20142BAB207013), the Scientific Research plan of the Department of Education of JiangXi Province(GJJ14640), The Young Teacher Development Plan of Visiting Scholars Program in the University of Jiangxi Province.