Subcellular localization prediction of apoptosis proteins based on the data mining for amino acid index database

摘要：

　　In this work,based on the ACF model and the SVM classifier,succeeded on trials mining information that it’s more effective to analyze the subcellular localization prediction of apoptosis proteins when adopting hydrophobicity property.This information is obtained in three benchmark datasets by using the ACF model and SVM to scan the AAindex database,which contains 544 kinds of amino acids.The contribution of this work is that it first did a comprehensive research on the effectiveness of the amino acid index for the subcellular localization of apoptosis proteins.

关键词： Database mining Amino acid index Subcellular localization prediction Apoptosis protein

作者: Zhuo-xing Shi Qi Dai Ping-an He Yu-hua Yao Bo Liao

作者单位: College of Life Sciences, Zhejiang Sci-Tech University, Hangzhou 310018, China College of Sciences, Zhejiang Sci-Tech University, Hangzhou 310018, China College of Information Science and Engineering, Hunan University, Changsha Hunan, 410082, China

会议类型: 国际会议

会议名称: 7th International Conference on Systems Biology(第7届计算系统生物学国际研讨会)(ISB2013)

会议地点: 安徽黄山

会议语种:英文

页码: 43-48

在线出版日期: 2013-08-22（万方平台首次上网日期，不代表论文的发表时间）