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A topological measurement for weighted protein interaction network
| Content Provider | CiteSeerX |
|---|---|
| Author | Pei, Pengjun Zhang, Aidong |
| Description | High-throughput methods for detecting protein-protein interactions (PPI) have given researchers an initial global picture of protein interactions on a genomic scale. The usefulness of this understanding is, however, typically compromised by noisy data. The effective way of integrating and using these non-congruent data sets has received little attention to date. This paper proposes a model to integrate different data sets. We construct this model using our prior knowledge of data set reliability. Based on this model, we propose a topological measurement to select reliable interactions and to quantify the similarity between two proteins’ interaction profiles. Our measurement exploits the smallworld network topological properties of protein interaction network. Meanwhile, we discovered some additional properties of the network. We show that our measurement can be used to find reliable interactions with improved performance and to find protein pairs with higher function homogeneity. Key Words: Protein-protein interaction, protein interaction network, data integration, weighted graph model, small |
| File Format | |
| Language | English |
| Publisher Institution | Proceedings of the 2005 IEEE Computational Systems Bioinformatics Conference |
| Access Restriction | Open |
| Subject Keyword | Protein Interaction Network Function Homogeneity Topological Measurement Protein Pair Data Integration Protein Interaction Profile Protein-protein Interaction Non-congruent Data Set Prior Knowledge Genomic Scale Key Word Improved Performance Initial Global Picture Protein Interaction Reliable Interaction Smallworld Network Topological Property Little Attention Effective Way Noisy Data Graph Model Different Data Set High-throughput Method Weighted Protein Interaction Network Additional Property |
| Content Type | Text |
| Resource Type | Article |
