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A hypergraph model for the yeast protein complex network

  • Emad Ramadan*
  • , Arijit Tarafdar
  • , Alex Pothen
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

48 Scopus citations

Abstract

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 networks.

Original languageEnglish
Title of host publicationProceedings - 18th International Parallel and Distributed Processing Symposium, IPDPS 2004 (Abstracts and CD-ROM)
PublisherIEEE Computer Society
Pages2647-2654
Number of pages8
ISBN (Print)0769521320, 9780769521329
DOIs
StatePublished - 2004
Externally publishedYes
Event18th International Parallel and Distributed Processing Symposium, IPDPS 2004 - Santa Fe, NM, United States
Duration: 26 Apr 2004 → 30 Apr 2004

Publication series

NameProceedings - International Parallel and Distributed Processing Symposium, IPDPS 2004 (Abstracts and CD-ROM)
Volume18

Conference

Conference18th International Parallel and Distributed Processing Symposium, IPDPS 2004
Country/TerritoryUnited States
CitySanta Fe, NM
Period26/04/04 → 30/04/04

Keywords

  • Graph core
  • Hypergraph
  • Power-law network
  • Protein complex network
  • Small-world network
  • Vertex cover

ASJC Scopus subject areas

  • General Engineering

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