Protein fold recognition and remote homology detection based on profile-level building blocks

Lei Lin*, Yi Shen, Bin Liu, Xiaolong Wang

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

2 引用 (Scopus)

摘要

Protein remote homology detection and fold recognition are central problems in bioinformatics. In this paper, two kinds of profile-level building blocks of protein sequences, binary profiles and N-nary profiles, are presented, which contain the evolutionary information of the protein sequence frequency profile. The two building blocks are applied for protein remote homology and fold detection tasks. The latent semantic analysis (LSA) model is adopted to further improve the performance of our methods. Experiment results show that the methods based on profile-level building blocks give better results compared to related methods.

源语言英语
主期刊名2010 International Conference on Biomedical Engineering and Computer Science, ICBECS 2010
DOI
出版状态已出版 - 2010
已对外发布
活动2010 International Conference on Biomedical Engineering and Computer Science, ICBECS 2010 - Wuhan, 中国
期限: 23 4月 201025 4月 2010

出版系列

姓名2010 International Conference on Biomedical Engineering and Computer Science, ICBECS 2010

会议

会议2010 International Conference on Biomedical Engineering and Computer Science, ICBECS 2010
国家/地区中国
Wuhan
时期23/04/1025/04/10

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