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An empirical framework for binary interactome mapping

Venkatesan, Kavitha and Rual, Jean-François and Vazquez, Alexei and Stelzl, Ulrich and Lemmens, Irma and Hirozane-Kishikawa, Tomoko and Hao, Tong and Zenkner, Martina and Xin, Xiaofeng and Goh, Kwang-Il and Yildirim, Muhammed A and Simonis, Nicolas and Heinzmann, Kathrin and Gebreab, Fana and Sahalie, Julie M and Cevik, Sebiha and Simon, Christophe and de Smet, Anne-Sophie and Dann, Elizabeth and Smolyar, Alex and Vinayagam, Arunachalam and Yu, Haiyuan and Szeto, David and Borick, Heather and Dricot, Amélie and Klitgord, Niels and Murray, Ryan R and Lin, Chenwei and Lalowski, Maciej and Timm, Jan and Rau, Kirstin and Boone, Charles and Braun, Pascal and Cusick, Michael E and Roth, Frederick P and Hill, David E and Tavernier, Jan and Wanker, Erich E and Barabási, Albert-László and Vidal, Marc (2009) An empirical framework for binary interactome mapping. Nature Methods, 6 (1). pp. 83-90. ISSN 1548-7105

Abstract

Several attempts have been made to systematically map protein-protein interaction, or 'interactome', networks. However, it remains difficult to assess the quality and coverage of existing data sets. Here we describe a framework that uses an empirically-based approach to rigorously dissect quality parameters of currently available human interactome maps. Our results indicate that high-throughput yeast two-hybrid (HT-Y2H) interactions for human proteins are more precise than literature-curated interactions supported by a single publication, suggesting that HT-Y2H is suitable to map a significant portion of the human interactome. We estimate that the human interactome contains approximately 130,000 binary interactions, most of which remain to be mapped. Similar to estimates of DNA sequence data quality and genome size early in the Human Genome Project, estimates of protein interaction data quality and interactome size are crucial to establish the magnitude of the task of comprehensive human interactome mapping and to elucidate a path toward this goal.

Item Type: Article
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Additional Information: Author can archive post-print (ie final draft post-refereeing); Publisher's version/PDF cannot be used
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Date Deposited: 22 Feb 2010 11:50
Last Modified: 31 Jan 2013 00:51
URI: https://oak.novartis.com/id/eprint/1704

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