Most potent drug target can be identifying among large number of non-homologous protein through protein interaction network analysis.
大多数有效的药物靶点能够通过蛋白质相互作用网络分析，在大量非同源蛋白质间识别。
Correlation coefficient of gene expression profiles for each pair of interaction proteins is calculated to filter the protein interaction network.
利用基因表达谱数据，通过计算互作蛋白质的表达相关系数，来筛选、优化蛋白质互作网络。
The present studies on the characteristics of the membrane protein interaction network will be valuable for its relatively biological and medical studies.
针对这些膜蛋白相互作用及其网络特性的研究将有助于以后更深入开展一些相关生物和药物的研究。
Proteins potentially associated with the pathology of Alzheimers disease were gathered into our database, and were then mapped into a protein interaction network.
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。
By analyzing and researching protein-protein interaction network, scientists find that proteins which interact with each other tend to have similar cellular function.
科学家通过对蛋白相互作用网络的研究发现相互作用的蛋白质趋向于具有相似的细胞功能。
In this paper, we mainly propose a new evolving protein interaction network model charactered by anti-preference based on the basic principles of biological duplication and divergence.
本文主要根据生物学的复制和变异的基本原理，提出了具有反偏爱复制特性的一个蛋白质作用网络的新的演化模型。
In this paper, we mainly propose a new evolving protein interaction network model charactered by anti-preference based on the basic principles of biological duplication and divergence.
本文主要根据生物学的复制和变异的基本原理，提出了具有反偏爱复制特性的一个蛋白质作用网络的新的演化模型。
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