PHOSIDA (phosphorylation site database): management, structural and evolutionary investigation, and prediction of phosphosites
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* Corresponding author: Matthias Mann mmann@biochem.mpg.de
Genome Biology 2007, 8:R250 doi:10.1186/gb-2007-8-11-r250
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BioMed Central: 10 citations
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Research article
Antonio Palmeri, Pier Federico Gherardini, Polina Tsigankov, Gabriele Ausiello, Gerald F Spath, Dan Zilberstein, Manuela Helmer-Citterich BMC Genomics 2011, 12:614 (19 December 2011) |
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Proceedings
Mining the TRAF6/p62 interactome for a selective ubiquitination motif Trafina S Jadhav, Marie W Wooten, Michael C Wooten BMC Proceedings 2011, 5(Suppl 2):S4 (28 April 2011) |
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Proceedings
The Musite open-source framework for phosphorylation-site prediction Jianjiong Gao, Dong Xu BMC Bioinformatics 2010, 11(Suppl 12):S9 (21 December 2010) |
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Research article
Ashis Biswas, Nasimul Noman, Abdur Sikder BMC Bioinformatics 2010, 11:273 (21 May 2010) |
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Research article
Towards the systematic discovery of signal transduction networks using phosphorylation dynamics data Haruna Imamura, Nozomu Yachie, Rintaro Saito, Yasushi Ishihama, Masaru Tomita BMC Bioinformatics 2010, 11:232 (7 May 2010) |
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Research
Karlheinz Mann, Albert J Poustka, Matthias Mann Proteome Science 2010, 8:6 (8 February 2010) |
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Research
WWM Pim Pijnappel, Annemieke Kolkman, Marijke PA Baltissen, Albert JR Heck, HT Marc Timmers Proteome Science 2009, 7:46 (24 December 2009) |
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Data Note
A comprehensive resource for integrating and displaying protein post-translational modifications Tzong-Yi Lee, Justin Hsu, Wen-Chi Chang, Ting-Yuan Wang, Po-Chiang Hsu, Hsien-Da Huang BMC Research Notes 2009, 2:111 (23 June 2009) This article is part of a collection on Databases The updated dbPTM 2.0 database offers an integrated interface to display both experimentally verified and predicted post-translational modifications on a protein's secondary or tertiary structure, and includes information on solvent accessibility, protein variation, and regions of intrinsic structural disorder.
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Research article
Pawel Durek, Christian Schudoma, Wolfram Weckwerth, Joachim Selbig, Dirk Walther BMC Bioinformatics 2009, 10:117 (21 April 2009) |
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Research
Jos Boekhorst, Bas van Breukelen, Albert JR Heck, Berend Snel Genome Biology 2008, 9:R144 (1 October 2008) A comparison of phosphoproteomics datasets of six eukaryotes shows significant overlap between phosphoproteomes. |