期刊论文

Tan Si-Qiao

英文

生物化学与生物物理进展

1000-3282

2017

44

12

1118-1124

10.16476/j.pibb.2016.0351

supported by a grant from Natural Science Foundation of Hunan province

本校为第一且通讯机构

Phosphorylation is the major post-translation modification to proteins, and it can be classified as kinase-specific and non-kinase-specific. This paper focuses on the prediction methods of non-kinase-specificity and using Dou's dataset of phosphorylation sites as the template, this paper develops a position-based chi-square table feature, χ~2-pos, and then integrates this feature with the pseudo position-specific scoring matrix (PsePSSM). A Support Vector Machine (SVM) classifier with balanced positive and negative samples was created, and the...

磷酸化是蛋白质翻译后的主要修饰,可分为激酶特异性和非激酶特异性两种类型.以非激酶特异性磷酸化位点Dou数据集为基础,本文发展了一种基于位置的卡方差表特征χ~2-pos,融合伪氨基酸序列进化信息PsePSSM表征序列,构建正负样本均衡的支持向量机分类器,S, T, Y独立测试Matthew相关系数、ROC曲线下面积分及准确率分别达到了(0.59、0.87、 79.74%),(0.55、0.85、77.68%)和(0.50、0.81、75.22%),明显优于文献报道结果. χ~2-pos、PsePSSM两种特征的融合在蛋白质磷酸化位点预测中有广泛应用前景.