【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.更多还原

【Abstract】 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 selfconsistecy 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.更多还原