Large-scale de novo prediction of physical protein-protein association

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Item Type:	Article
Title:	Large-scale de novo prediction of physical protein-protein association
Creators Name:	Elefsinioti, A., Sarac, O.S., Hegele, A., Plake, C., Hubner, N.C., Poser, I., Sarov, M., Hyman, A., Mann, M., Schroeder, M., Stelzl, U. and Beyer, A.
Abstract:	Information about the physical association of proteins is extensively used for studying cellular processes and disease mechanisms. However, complete experimental mapping of the human interactome will remain prohibitively difficult in the near future. Here we present a map of predicted human protein interactions that distinguishes functional association from physical binding. Our network classifies more than 5 million protein pairs predicting 94,009 new interactions with high confidence. We experimentally tested a subset of these predictions using yeast two-hybrid analysis and affinity purification followed by quantitative mass spectrometry. Thus we identified 462 new protein-protein interactions and confirmed the predictive power of the network. These independent experiments address potential issues of circular reasoning and are a distinctive feature of this work. Analysis of the physical interactome unravels subnetworks mediating between different functional and physical subunits of the cell. Finally, we demonstrate the utility of the network for the analysis of molecular mechanisms of complex diseases by applying it to genome-wide association studies of neurodegenerative diseases. This analysis provides new evidence implying TOMM40 as a factor involved in Alzheimer's disease. The network provides a high-quality resource for the analysis of genomic data sets and genetic association studies in particular. Our interactome is available via the hPRINT web server at: www.print-db.org.
Keywords:	Algorithms, Bayes Theorem, Computer Simulation, HeLa Cells, Molecular Models, Neurodegenerative Diseases, Nonparametric Statistics, Protein Interaction Domains and Motifs, Protein Interaction Mapping, Protein Interaction Maps, Proteome, Recombinant Proteins, ROC Curve, Animals
Source:	Molecular & Cellular Proteomics
ISSN:	1535-9476
Publisher:	American Society for Biochemistry and Molecular Biology
Volume:	10
Number:	11
Page Range:	M111.010629
Date:	November 2011
Official Publication:	https://doi.org/10.1074/mcp.M111.010629
PubMed:	View item in PubMed

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