New encoding schemes for prediction of protein phosphorylation sites

摘要：

　　Protein phosphorylation is involved in most cellular functions.Because of the importance of protein phosphorylation,many methods are conducted to identify the phosphorylation sites.Experimental methods for identifying phosphorylation sites are not only costly but also time consuming.Hence,computational methods are highly desired.In this paper,three new encoding methods,BinCTF(Binary-conjoint triad feature),CTF2(new conjoint triad feature) and BinCTF2(Binary-new conjoint triad feature),which are the modification of Binary and CTF encoding,are developed.Then an ensemble support vector machine is applied to predict the phosphorylation sites related to serine (S),threonine (T) and tyrosine (Y) residues.The numerical results indicate that some of the performance of these new methods are better than previous methods.

关键词： support vector machine encoding scheme protein phosphorylation prediction

作者: Zimo Yin Junyan Tan

作者单位: College of ScienceChina Agricultural UniversityBeijing, China 100083

会议类型: 国际会议

会议名称: 6th International Conference on Systems Biology (第六届国际系统生物学会议)(ISB2012)

会议地点: 西安

会议语种:英文

页码: 56-62

在线出版日期: 2012-08-19（万方平台首次上网日期，不代表论文的发表时间）