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Statistical Applications in Genetics and Molecular Biology

Editor-in-Chief: Sanguinetti, Guido

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Volume 3, Issue 1


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Making Sense of High-Throughput Protein-Protein Interaction Data

Denise Scholtens / Robert Gentleman
Published Online: 2005-01-03 | DOI: https://doi.org/10.2202/1544-6115.1107

Accurate systems biology modeling requires a complete catalog of protein complexes and their constituent proteins. We discuss a graph-theoretic/statistical algorithm for local dynamic modeling of protein complexes using data from affinity purification-mass spectrometry experiments. The algorithm readily accommodates multicomplex membership by individual proteins and dynamic complex composition, two biological realities not accounted for in existing topological descriptions of the overall protein network. A likelihood-based objective function guides the protein complex modeling algorithm. With an accurate complex membership catalog in place, systems biology can proceed with greater precision.

Keywords: protein-protein interactions; graph theory

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Published Online: 2005-01-03

Citation Information: Statistical Applications in Genetics and Molecular Biology, Volume 3, Issue 1, Pages 1–31, ISSN (Online) 1544-6115, DOI: https://doi.org/10.2202/1544-6115.1107.

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