摘要
基于蛋白质序列组分信息,提出一个离散增量结合二次判别分析法(IDQD)预测蛋白质相互作用的模型,对人类蛋白质相互作用进行预测.自洽检验的识别精度达到75.89%,3-fold交叉检验的敏感性和特异性分别为64.22%和64.68%.结果表明IDQD算法可以用于蛋白质相互作用的预测.
In this work,based on the compositional characteristic of protein sequences, the method of increment of diversity combined with quadratic discriminant analysis was used to predict human protein-protein interactions.The results showed that the prediction accuracy of the self-consistent test is 75.89%and the sensitivity and the specificity of the 3-fold cross-validation test are 64.22%and 64.68%,which indicate that IDQD method is useful in protein-protein interaction prediction.
出处
《生物数学学报》
CSCD
北大核心
2010年第3期501-507,共7页
Journal of Biomathematics
基金
国家自然科学基金资助项目(60761001)
关键词
蛋白质
相互作用
离散增量
二次判别分析
Protein
Interaction
Increment of diversity
Quadratic discriminant analysis