提出将多分类器组合算法应用于蛋白质-蛋白质相互作用位点预测。
The methods of multiple classifiers combination are proposed to classify protein-protein interaction sites.
依据无标度网络的相关理论，提出一种预测蛋白质-蛋白质相互作用的算法，并预测潜在的作用位点。
Proteins potentially associated with the pathology of Alzheimers disease were gathered into our database, and were then mapped into a protein interaction network.
蛋白质相互作用位点的识别对于突变设计和预测蛋白质相互作用的网络是非常重要的。
Identification of protein-protein interaction sites is essential for the mutant design and prediction of protein-protein networks.
蛋白质相互作用位点的预测对于突变设计和蛋白质相互作用网络的重构都是至关重要的。
Prediction of protein-protein interaction sites is essential for mutant design and reconstruction of protein-protein interaction networks.
蛋白质相互作用位点的预测对于突变设计和蛋白质相互作用网络的重构都是至关重要的。
Prediction of protein-protein interaction sites is essential for mutant design and reconstruction of protein-protein interaction networks.
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