摘要
根据蛋白质的亚细胞定位,将蛋白质分为四类,用离散量的数学理论,提出了预测蛋白质的亚细胞定位理论方法.利用蛋白质中氨基酸组分,通过计算离散增量和离散有限系数预测蛋白质的亚细胞定位.用Self-consistency和Jackknife两种方法测试均获得较高的预测成功率.结果表明:蛋白质类中包含的蛋白质数越多,预测成功率越高.
According to the subcellular location,proteins are classified into four groups.Based on the theory of measure of diversity,a new algorithm for prediction of protein subcellular location is proposed.By use of protein's amino acid composition,the subcellular location of a protein can be predicted by calculating increment of diversity and finite coefficient of diversity.The high rates of correct prediction are obtained by selfconsistecy test and jackknife test. The results indicate that the greater the number of proteins in one class of proteins is,the higher rates of correct prediction is.
出处
《内蒙古大学学报（自然科学版）》
CAS
CSCD
北大核心
2003年第4期416-419,共4页
Journal of Inner Mongolia University：Natural Science Edition
基金
国家自然科学基金(30160025)
关键词
离散增量
亚细胞定位
离散有限系数
increment of diversity
subcellular location
finite coefficient of diversity
