凋亡蛋白亚细胞定位预测的新方法  

New Method for Predicting Subcellular Location of Apoptosis Proteins

作　　者：王爱华[1] 杨闫[2] 刘欢[2] 褚威威 于晓庆[3] 李春[2] 

机构地区：[1]渤海大学大学基础教研部,辽宁锦州121013 [2]渤海大学数理学院,辽宁锦州121013 [3]上海应用技术学院应用数学系,上海201418

出　　处：《重庆理工大学学报（自然科学）》2015年第5期61-65,共5页Journal of Chongqing University of Technology：Natural Science

基　　金：国家自然科学基金项目(11171042)

摘　　要：基于频率位置信息与频率本身相结合的思想,并结合氨基酸的分类模型、理化性质和替换矩阵构造了蛋白质序列的特征向量;以最近邻方法作为分类器,利用ZW225和CL317两个经典数据集对该方法进行了检验,所得结果同其他亚细胞定位预测方法做了比较。结果表明该方法是有效的。By means of the idea of combining the position information with the frequency itself and taking into account the classifications of the amino acids, physical chemical properties and the amino acid substitution matrix, the feature vector was constructed for a protein sequence. The nearest neigh- bor classifier was used as the prediction engine. We selected two widely used datasets （ZW225 and CL317 ） to provide a comprehensive and unbiased comparison with previous studies of protein subcel- lular location. The result shows that our method is effective.

关 键 词：凋亡蛋白 亚细胞定位 氨基酸 最近邻方法 

分 类 号：O29[理学—应用数学] Q71[理学—数学]