title: Predict and Analyze Protein Glycation Sites with the mRMR and IFS Methods.
abstract: Glycation is a nonenzymatic process in which proteins react with reducing sugar molecules. The identification of glycation sites in protein may provide guidelines to understand the biological function of protein glycation. In this study, we developed a computational method to predict protein glycation sites by using the support vector machine classifier. The experimental results showed that the prediction accuracy was 85.51% and an overall MCC was 0.70. Feature analysis indicated that the composition of k-spaced amino acid pairs feature contributed the most for glycation sites prediction.
authors.affiliation: College of Mathematics and Statistics, Northeast Normal University, 5268 Renmin Street, Changchun 130024, China ; College of Computer Science and Information Technology, Northeast Normal University, 2555 Jingyue Street, Changchun 130117, China.
authors.forename: Yan
authors.identifier: 0000-0002-8470-6013
authors.initials: Y
authors.lastname: Liu
authors.affiliation: College of Computer Science and Information Technology, Northeast Normal University, 2555 Jingyue Street, Changchun 130117, China ; Institute of Applied Mathematics and Intelligent Systems, Changchun Architecture & Civil Engineering College, Changchun 130607, China.
authors.forename: Wenxiang
authors.initials: W
authors.lastname: Gu
authors.affiliation: College of Computer Science and Information Technology, Northeast Normal University, 2555 Jingyue Street, Changchun 130117, China.
authors.forename: Wenyi
authors.initials: W
authors.lastname: Zhang
authors.affiliation: College of Computer Science and Information Technology, Northeast Normal University, 2555 Jingyue Street, Changchun 130117, China.
authors.forename: Jianan
authors.initials: J
authors.lastname: Wang
mesh_terms: D000596:Amino Acids / Q000235:genetics*; D019295:Computational Biology / Q000379:methods*; D006031:Glycosylation; D011506:Proteins / Q000737:chemistry / Q000235:genetics*; D040901:Proteomics; D020539:Sequence Analysis, Protein / Q000379:methods*; D060388:Support Vector Machine
chemical_list: D000596:Amino Acids; D011506:Proteins