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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ramadan, E. Tarafdar, A. Pothen, A. |
| Copyright Year | 2004 |
| Description | Author affiliation: Dept. of Comput. Sci., Old Dominion Univ., Norfolk, VA, USA (Ramadan, E.; Tarafdar, A.; Pothen, A.) |
| Abstract | Summary form only given. We consider a hypergraph model for the protein complex network obtained from a large-scale experimental study to characterize the proteome of the yeast. Our model views the yeast proteome as a hypergraph, with the proteins corresponding to vertices and the complexes corresponding to hyperedges. Previous work has modeled the protein complex data as a protein-protein interaction graph or as a complex intersection graph; both models lose information and require more space. Our results show that the yeast protein complex hyper-graph is a small-world and power-law hypergraph. We design an algorithm for computing the k-core of a hypergraph, and use it to identify the core proteome, the maximum core of the protein complex hypergraph. We show that the core proteome of the yeast is enriched in essential and homologous proteins. We implement greedy approximation algorithms for variant minimum weight vertex covers of a hypergraph; these algorithms can be used to improve the reliability and efficiency of the experimental method that identifies the protein complex network. |
| Sponsorship | IEEE Comput. Soc. Tech. Committee on Parallel Processing |
| File Size | 1564313 |
| File Format | |
| ISBN | 0769521320 |
| DOI | 10.1109/IPDPS.2004.1303205 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2004-04-26 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Fungi Proteins Complex networks Large-scale systems Approximation algorithms Computer science Algorithm design and analysis Assembly Organisms Splicing |
| Content Type | Text |
| Resource Type | Article |
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