Prediction of apoptosis protein subcellular location using improved hybrid approach and pseudo-amino acid composition
Prediction of apoptosis protein subcellular location using improved hybrid approach and pseudo-amino acid composition
复制标题
使用改进的混合方法和假氨基酸组成预测凋亡蛋白亚细胞位置
DOI：
10.1016/j.jtbi.2007.05.019
复制
发表时间：
2007-09-21
影响因子：
2
通讯作者：
Li, Qian-Zhong
中科院分区：
文献类型：
--
作者：
Chen, Ying-Li;Li, Qian-Zhong
Apoptosis proteins are very important for understanding the mechanism of programmed cell death. The apoptosis protein localization can provide valuable information about its molecular function. The prediction of localization of an apoptosis protein is a challenging task. In our previous work we proposed an increment of diversity (ID) method using protein sequence information for this prediction task. In this work, based on the concept of Chou's pseudo-amino acid composition [Chou, K.C., 2001. Prediction of protein cellular attributes using pseudo-amino acid composition. Proteins: Struct. Funct. Genet. (Erratum: Chou, K.C., 2001, vol. 44, 60) 43, 246-255, Chou, K.C., 2005. Using amphiphilic pseudo-amino acid composition to predict enzyme subfamily classes. Bioinformatics 21, 10-19], a different pseudo-amino acid composition by using the hydropathy distribution information is introduced. A novel ID_SVM algorithm combined ID with support vector machine (SVM) is proposed. This method is applied to three data sets (317 apoptosis proteins, 225 apoptosis proteins and 98 apoptosis proteins). The higher predictive success rates than the previous algorithms are obtained by the jackknife tests. (c) 2007 Elsevier Ltd. All rights reserved.
