泛素化是目前广受关注的一种翻译后修饰过程,对蛋白质降解、DNA修复等多种细胞过程都具有重要的调控作用。本文根据国内外蛋白质泛素化位点预测的研究,分析了预测泛素化位点的特征属性,总结了对这些特征进行优化的特征选择方法,并对预测过程中所使用的各种机器学习分类器进行了概述。 Ubiquitination is a widely accepted post-translational modification process that plays an important regulatory role in various cellular processes such as protein degradation and DNA repair. Based on the research of protein ubiquitination site prediction at home and abroad, this paper analyzes the feature attributes of ubiquitination site prediction, summarizes the feature selection method to optimize these features, and analyzes the various machine learning Classifier is outlined.