Abstract
High-throughput techniques for the detection of protein–protein interactions (PPIs) have enabled a systems approach for the study of the living cell. However, the increasing amount of protein interaction data, the varying quality of these measurements, and the lack of context information make it difficult to construct meaningful and reliable protein networks.
The Human Integrated Protein–Protein Interaction rEference (HIPPIE) is a web tool that integrates and annotates experimentally supported human PPIs from a heterogeneous set of data sources. In HIPPIE, one can query for the interactors of one or more proteins and generate high-quality and context-specific networks. This chapter highlights HIPPIE’s most important features and exemplifies its functionality through a proposed use case.
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Acknowledgments
HIPPIE has been developed and is maintained in the lab of Prof. Miguel Andrade. He also gave valuable feedback on this book chapter. We also thank the Zentrum für Datenverarbeitung of the Johannes Gutenberg Universität for their help in the maintenance of the web server that hosts HIPPIE.
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Alanis-Lobato, G., Schaefer, M.H. (2020). Generation and Interpretation of Context-Specific Human Protein–Protein Interaction Networks with HIPPIE. In: Canzar, S., Ringeling, F. (eds) Protein-Protein Interaction Networks. Methods in Molecular Biology, vol 2074. Humana, New York, NY. https://doi.org/10.1007/978-1-4939-9873-9_11
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DOI: https://doi.org/10.1007/978-1-4939-9873-9_11
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