An integrated approach to the prediction of domain-domain interactions
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* Corresponding authors: Fengzhu Sun fsun@usc.edu - Ting Chen tingchen@usc.edu
BMC Bioinformatics 2006, 7:269 doi:10.1186/1471-2105-7-269
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IDDI: Integrated Domain-Domain Interaction and Protein Interaction Analysis System Yul Kim, Bumki Min, Gwan-Su Yi Proteome Science 2012, 10(Suppl 1):S9 (21 June 2012) |
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Bayesian probabilistic network modeling from multiple independent replicates Kristopher L Patton, David J John, James L Norris BMC Bioinformatics 2012, 13(Suppl 9):S6 (11 June 2012) |
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Alvaro J González, Li Liao BMC Bioinformatics 2010, 11:537 (29 October 2010) |
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Yungki Park BMC Bioinformatics 2009, 10:419 (14 December 2009) |
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Kevin Y Yip, Philip M Kim, Drew McDermott, Mark Gerstein BMC Bioinformatics 2009, 10:241 (5 August 2009) The benefits of a multi-level machine-learning approach to predicting protein interactions are demonstrated by an algorithm that integrates predictions of interactions at the whole protein, domain and residue levels, improving the overall accuracy of predictions without propagating errors.
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Ab initio and homology based prediction of protein domains by recursive neural networks Ian Walsh, Alberto JM Martin, Catherine Mooney, Enrico Rubagotti, Alessandro Vullo, Gianluca Pollastri BMC Bioinformatics 2009, 10:195 (26 June 2009) |
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Interrogating domain-domain interactions with parsimony based approaches Katia S Guimarães, Teresa M Przytycka BMC Bioinformatics 2008, 9:171 (26 March 2008) |
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Denoising inferred functional association networks obtained by gene fusion analysis Atanas Kamburov, Leon Goldovsky, Shiri Freilich, Aliki Kapazoglou, Victor Kunin, Anton J Enright, Athanasios Tsaftaris, Christos A Ouzounis BMC Genomics 2007, 8:460 (14 December 2007) |
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Analysis on multi-domain cooperation for predicting protein-protein interactions Rui-Sheng Wang, Yong Wang, Ling-Yun Wu, Xiang-Sun Zhang, Luonan Chen BMC Bioinformatics 2007, 8:391 (16 October 2007) |
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Haidong Wang, Eran Segal, Asa Ben-Hur, Qian-Ru Li, Marc Vidal, Daphne Koller Genome Biology 2007, 8:R192 (14 September 2007) InSite is a computational method that integrates high-throughput protein and sequence data to infer the specific binding regions of interacting protein pairs. |
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Nobuyoshi Sugaya, Kazuyoshi Ikeda, Toshiyuki Tashiro, Shizu Takeda, Jun Otomo, Yoshiko Ishida, Akiko Shiratori, Atsushi Toyoda, Hideki Noguchi, Tadayuki Takeda, Satoru Kuhara, Yoshiyuki Sakaki, Takao Iwayanagi BMC Pharmacology 2007, 7:10 (20 August 2007) |
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A domain-based approach to predict protein-protein interactions Mudita Singhal, Haluk Resat BMC Bioinformatics 2007, 8:199 (13 June 2007) |