How complete are current yeast and human protein-interaction networks?
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* Corresponding author: Edward M Marcotte marcotte@icmb.utexas.edu
Genome Biology 2006, 7:120 doi:10.1186/gb-2006-7-11-120
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Computational approaches for detecting protein complexes from protein interaction networks: a survey Xiaoli Li, Min Wu, Chee-Keong Kwoh, See-Kiong Ng BMC Genomics 2010, 11(Suppl 1):S3 (10 February 2010) |
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NeMo: Network Module identification in Cytoscape Corban G Rivera, Rachit Vakil, Joel S Bader BMC Bioinformatics 2010, 11(Suppl 1):S61 (18 January 2010) |
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Predicting the protein-protein interactions using primary structures with predicted protein surface Darby Chang, Yu-Tang Syu, Po-Chang Lin BMC Bioinformatics 2010, 11(Suppl 1):S3 (18 January 2010) |
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Assessing the druggability of protein-protein interactions by a supervised machine-learning method Nobuyoshi Sugaya, Kazuyoshi Ikeda BMC Bioinformatics 2009, 10:263 (25 August 2009) |
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Carlo G Artieri, Wilfried Haerty, Rama S Singh BMC Biology 2009, 7:42 (21 July 2009) Von Baer and Darwin's developmental constraint hypotheses gain support from comparing fruit fly genes across six species, as early-expressed genes are constrained and have more interactions, and adult male gonad genes diverge the most, under positive selection.
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Interactome and Gene Ontology provide congruent yet subtly different views of a eukaryotic cell Antonio Marco, Ignacio Marín BMC Systems Biology 2009, 3:69 (15 July 2009) |
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Stefanie De Bodt, Sebastian Proost, Klaas Vandepoele, Pierre Rouzé, Yves Van de Peer BMC Genomics 2009, 10:288 (29 June 2009) |
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Bill Andreopoulos, Christof Winter, Dirk Labudde, Michael Schroeder BMC Bioinformatics 2009, 10:196 (27 June 2009) |
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Protein function annotation by homology-based inference Yaniv Loewenstein, Domenico Raimondo, Oliver C Redfern, James Watson, Dmitrij Frishman, Michal Linial, Christine Orengo, Janet Thornton, Anna Tramontano Genome Biology 2009, 10:207 (2 February 2009) This article is part of a collection on BioSapiens Where information on homologous proteins is available, progress is being made in automated prediction of protein function from sequence and structure. |
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Christian Frech, Michael Kommenda, Viktoria Dorfer, Thomas Kern, Helmut Hintner, Johann W Bauer, Kamil Önder BMC Bioinformatics 2009, 10:21 (19 January 2009) |
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Interspecies data mining to predict novel ING-protein interactions in human Paul MK Gordon, Mohamed A Soliman, Pinaki Bose, Quang Trinh, Christoph W Sensen, Karl Riabowol BMC Genomics 2008, 9:426 (18 September 2008) |
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Protein interactions in human genetic diseases Benjamin Schuster-Böckler, Alex Bateman Genome Biology 2008, 9:R9 (16 January 2008) A method is presented to identify residues that form part of an interaction interface, leading to the prediction that 1,428 OMIM mutations are related to an interaction defect. |
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Broad network-based predictability of Saccharomyces cerevisiae gene loss-of-function phenotypes Kriston L McGary, Insuk Lee, Edward M Marcotte Genome Biology 2007, 8:R258 (5 December 2007) Loss-of-function phenotypes of yeast genes can be predicted from the loss-of-function phenotypes of their neighbours in functional gene networks. This could potentially be applied to the prediction of human disease genes. |
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Xochitl C Morgan, Shulin Ni, Daniel P Miranker, Vishwanath R Iyer BMC Bioinformatics 2007, 8:445 (15 November 2007) |
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Making the most of high-throughput protein-interaction data Robert Gentleman, Wolfgang Huber Genome Biology 2007, 8:112 (2 November 2007) Better methods of statistical analysis could make large-scale protein-interaction data more useful. |
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Probabilistic prediction and ranking of human protein-protein interactions Michelle S Scott, Geoffrey J Barton BMC Bioinformatics 2007, 8:239 (5 July 2007) |
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A high-accuracy consensus map of yeast protein complexes reveals modular nature of gene essentiality G Traver Hart, Insuk Lee, Edward M Marcotte BMC Bioinformatics 2007, 8:236 (2 July 2007) |