| 何冰宋晓峰△.基于蛋白质序列的泛素化位点预测研究进展[J].,2012,12(18):3573-3576 |
| 基于蛋白质序列的泛素化位点预测研究进展 |
| Progress in Prediction of Protein Ubiquitination Sites Based on theProtein Sequence |
| |
| DOI： |
| 中文关键词: 泛素化位点 特征选择 机器学习分类器 |
| 英文关键词: Ubiquitination sites Feature selection Machine learning classifiers |
| 基金项目:国家自然科学基金资助项目（61171191）；江苏省自然科学基金资助项目（BK2010500） |
|
| 摘要点击次数: 1337 |
| 全文下载次数: 1421 |
| 中文摘要: |
| 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。 |
| 英文摘要: |
| Ubiquitination, a popular process of post-translational modification, plays an important regulatory role in numerous
cellular process such as protein degradation, DNA repair and so on. The essay analyzed the features influencing the protein ubiquitination
sites prediction and feature selection approaches that can extract the informative features improving the performance of classifier from the
total feature set. Meanwhile, several machine learning classifiers of predicting the protein ubiquitination sites were introduced based on
the various relevant studies of home and abroad. |
|
查看全文
查看/发表评论 下载PDF阅读器 |
| 关闭 |
