NDLI: A topological measurement for weighted protein interaction network

Content Provider	IEEE Xplore Digital Library
Author	Pei, P. Zhang, A.
Copyright Year	2005
Description	Author affiliation: Dept. of Comput. Sci. & Eng., State Univ. of New York, Buffalo, NY, USA (Pei, P.; Zhang, A.)
Abstract	High-throughput methods for detecting protein-protein interactions (PPl) 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 small-world 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.
Sponsorship	IEEE Comput. Soc. Tech. Comm. on Bioinformatics
Starting Page	268
Ending Page	278
File Size	188581
Page Count	11
File Format	PDF
ISBN	0769523447
DOI	10.1109/CSB.2005.8
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-08-08
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Weight measurement Protein engineering Biological system modeling Protein-protein interaction Genomics topological measurement Mass spectroscopy Computer science Fungi Network topology protein interaction network Biological processes weighted graph model small world network Bioinformatics data integration
Content Type	Text
Resource Type	Article

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