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Genome-wide Protein-protein Interaction Screening by Protein-fragment Complementation Assay (PCA) in Living Cells
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Generative probabilistic models for protein-protein interaction networks--the biclique perspective

Regev Schweiger1, Michal Linial, Nathan Linial

  • 1School of Computer Science and Engineering, Department of Biological Chemistry, The Alexander Silberman Institute of Life Sciences and The Sudarsky Center for Computational Biology, The Hebrew University, Jerusalem, 91904 Israel. regevs01@cs.huji.ac.il

Bioinformatics (Oxford, England)
|June 21, 2011
PubMed
Summary

The duplication-divergence (DD) model better explains Saccharomyces cerevisiae protein-protein interaction (PPI) network evolution than the Barabási-Albert (BA) model. Analysis of maximal biclique distribution favors DD, indicating its ability to capture key network growth patterns.

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