Predicts lysine succinylation sites in proteins. iSuc-PseOpt has been developed by incorporating the sequence-coupling effects into the general pseudo amino acid composition and using KNNC (K-nearest neighbors cleaning) treatment and IHTS (inserting hypothetical training samples) treatment to optimize the training dataset. Users can easily get their desired results without needing to go through the complicated mathematical equations involved.
Computer Department, Jing-De-Zhen Ceramic Institute, Jing-De-Zhen, China; Gordon Life Science Institute, Boston, MA, USA; Center of Excellence in Genomic Medicine Research (CEGMR), King Abdulaziz University, Jeddah, Saudi Arabia
iSuc-PseOpt funding source(s)
This work was partially supported by the National Nature Science Foundation of China (61261027, 31260273, 31560316, and 31560316), the Natural Science Foundation of Jiangxi Province (20122BAB211033, 20122BAB201044, and 20132BAB201053), and the Scientific Research plan of the Department of Education of Jiangxi Province (GJJ14640).