Jia Cangzhi, Zuo Yun
Department of Mathematics, Dalian Maritime University, Dalian, China.
Methods Mol Biol. 2018;1754:235-246. doi: 10.1007/978-1-4939-7717-8_14.
Protein O-GlcNAcylation on serine and threonine residues is a significant posttranslational modification. Experimental techniques can uncover only a small portion of O-GlcNAcylation sites. Several computational algorithms have been proposed as necessary auxiliary tools to identify potential O-GlcNAcylation sites. This chapter discusses the metrics and procedures used to assess prediction tools and surveys six computational tools for the prediction of protein O-GlcNAcylation sites. Analyses of these tools using an independent test dataset indicated the advantages and disadvantages of the six existing prediction methods. We also discuss the challenges that may be faced while developing novel predictors in the future.
丝氨酸和苏氨酸残基上的蛋白质O-连接N-乙酰葡糖胺化是一种重要的翻译后修饰。实验技术只能揭示一小部分O-连接N-乙酰葡糖胺化位点。已经提出了几种计算算法作为识别潜在O-连接N-乙酰葡糖胺化位点的必要辅助工具。本章讨论了用于评估预测工具的指标和程序，并概述了六种用于预测蛋白质O-连接N-乙酰葡糖胺化位点的计算工具。使用独立测试数据集对这些工具进行的分析表明了六种现有预测方法的优缺点。我们还讨论了未来开发新型预测器时可能面临的挑战。
