protein-protein interaction

Protein-protein interaction network refers a new research area of computer science .

蛋白质相互作用网络是计算机科学技术的一个新研究领域。

Prediction of Protein-Protein Interaction Using Modified Resonant Recognition Model

应用改进的共鸣识别模型预测蛋白质相互作用

Prediction of protein-protein interaction based only on primary structure information

基于一级结构信息预测蛋白质与蛋白质相互作用

Protein Function Prediction Based on Clustering Algorithm on a Protein-protein Interaction Network

基于聚类算法和相互作用网络的蛋白质功能预测研究

The application of the computational methods in protein-protein interaction study

计算方法在蛋白质相互作用研究中的应用

Clustering Research and Software Development in Protein-Protein Interaction Network

蛋白网络聚类研究及其可视化软件开发

In the end , a protein-protein interaction information extraction system is designed .

最后，本文设计了一种蛋白质相互作用信息提取系统。

Text Mining Techniques Based on Protein-protein Interaction Prediction Method

基于文本挖掘技术的蛋白质相互作用预测方法研究

Prediction of protein-protein interaction based on improved pseudo amino acid composition

基于改进伪氨基酸组成的蛋白质相互作用预测

Prediction of Functional Modules from Protein-Protein Interaction Network by Bioinformatics Method

生物信息学方法预测蛋白质相互作用网络中的功能模块

Several representative methods of clustering in protein-protein interaction network are reviewed .

蛋白质相互作用网络是后基因组时代系统生物学研究的重要内容。

Review on Several Clustering Methods in Protein-protein Interaction Network

蛋白质相互作用网络的几种聚类方法综述

The new model is more suitable for the prediction of the protein-protein interaction .

该模型的最大特点在于直接通过蛋白质的一级结构预测蛋白质之间的相互作用，改进后的模型较原模型更加适合于蛋白质相互作用的预测。

Large scale research of protein-protein interaction may reveal precise mechanism of transport and function .

关于其与细胞内蛋白的相互作用研究甚少。规模化进行蛋白质相互作用研究可能发现其更精确的转运调节机制并揭示新的功能。

Research of protein-protein interaction extraction based on semi-supervised learning

基于半监督学习的蛋白质关系抽取研究

Predicting Protein-Protein Interaction Sites from Sequence Profile and Accessible Surface Area

基于序列剖面和可及表面积的蛋白质相互作用位点的预测

Large-scale Study of Protein-protein Interaction in Human Liver

大规模人类肝脏蛋白质相互作用网络研究

Research on Protein-Protein Interaction Prediction and False Positive Reduction on PPI

蛋白质相互作用预测及其假阳性过滤研究

In chapter four , we introduced the mining of biological information in protein-protein interaction data .

第四章我们介绍了蛋白质相互作用数据中的生物信息挖掘。

Therefore , this dissertation will explore the topic of protein-protein interaction information extraction .

本文对蛋白质相互作用信息提取，这个具有重要理论意义和广阔应用前景的课题进行研究和探索。

Method for Studying Binding Properties of a Protein-protein Interaction Domain PDZ

蛋白质相互作用结构域PDZ结合特性的研究方法

It is important to analyze protein-protein interaction network for the research of proteomics and human disease .

蛋白质相互作用网络分析对蛋白质组学的研究乃至人类疾病的研究都具有重要的意义，同时也将为后基因时代蛋白质组学领域的其他研究提供一个基础性的理论参照。

Prediction of protein function is a challenging problem at present in the research of protein-protein interaction network .

蛋白质功能预测是蛋白质相互作用网络富有挑战性的问题之一。

Investigation of protein-protein interaction and recognition is an important problem in the field of molecular biology .

蛋白质-蛋白质相互作用与识别的研究是分子生物学领域的重要课题。

Evaluation of Human Protein-protein Interaction Databases Reliability

人类蛋白质相互作用数据库可靠性的衡量

On Degree-rank Function and Degree Distribution of Protein-Protein Interaction Networks

蛋白质相互作用网络的度秩函数与度分布

With the protein-protein interaction data continuously enriched , protein-protein interaction network construction has made great development .

随着蛋白质相互作用数据的不断丰富，蛋白质相互作用网络的构建取得很大的发展。

The methods of multiple classifiers combination are proposed to classify protein-protein interaction sites .

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。

Predicted 6 direct protein-protein interaction complexes by applying bioinformatics analysis on 6 different proteins .

对6种差异蛋白质进行生物信息学分析，预测出这6个蛋白之间有直接相互作用的蛋白质-蛋白质复合物。

A comprehensive model considering both gene duplication and link dynamics is proposed for protein-protein interaction networks .

提出了一个综合考虑基因复制和边重连机制的蛋白质作用网络模型。