iLM-2L: A two-level predictor for identifying protein lysine methylation sites and their methylation degrees by incorporating K-gap amino acid pairs into Chou壮s general PseAAC
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- 作者：Zhe Ju juzhe1120@hotmail.com" class="auth_mail" title="E-mail the corresponding author ; Jun-Zhe Cao caojunzhe@dlut.edu.cn" class="auth_mail" title="E-mail the corresponding author ; Hong Gu ; guhong@dlut.edu.cn" class="auth_mail" title="E-mail the corresponding author
- 关键词：K-spaced amino acid pair ; Multi-label classification ; Post-translational modification ; Support vector machine
- 刊名：Journal of Theoretical Biology
- 出版年：2015
- 出版时间：21 November 2015
- 年：2015
- 卷：385
- 期：Complete
- 页码：50-57
- 全文大小：952 K
文摘
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A two-level multi-label predictor is built to identify methyllysine sites and their methylation degrees.
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The CKSAAP feature is used to predict and analyze lysine methylation sites.
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The proposed method is more effective than existing methods.
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A matlab software package is available for prediction.