用离散量预测蛋白质的结构型

基于蛋白质的结构类型决定了它的二级结构序列的概念，用二级结构序列参数Nα，Nβ，Nβaβ,N(βαβ）构成离散源，并计算离散量D（Xα），D（Xβ），D（Xα＋β），利用离散增量预测蛋白质的结构类型，它是由这个蛋白质的离散量D（Xn）与四个标准离散D（Xα），D（Xβ）,D（Xα／β），D（Xα＋β）之间离散增量的最小值所决定的，预测结果表明，准确率分别达到84．8％（标准集）和83．3％（检验集）。

THE PREDICTION OF THE STRUCTURAL CLASS OF PROTEIN:APPLICATION OF THE MEASURE OF DIVERSITY

According to the concept that structural class of protein is mainly determined by its secondary structure sequence, the structural class of a protein can be predicted by using the increment of diversity between the protein and a set of standard set of proteins. The standard sources of diversity are respectively determined by the secondary structure parameters Nα,Nβ,Nβαβ,N(βαβ). The four increments of diversity between the measure of diversity D(Xα), D(Xβ), D(Xα/β), D(Xα+β) and a measure of diversity D(Xn) of a new protein (n) (in the 1998 test set and the 1995 standard set) are respectively calculated. The structural class of a protein is determined by the lowest increments of diversity. The average rates of correct prediction are 84.8% for standard set and 83.8% for test set.