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      P 3DB: An Integrated Database for Plant Protein Phosphorylation

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          Abstract

          Protein phosphorylation is widely recognized as the most widespread, enzyme-catalyzed post-translational modification in eukaryotes. In particular, plants have appropriated this signaling mechanism as evidenced by the twofold higher frequency of protein kinases within the genome compared to other eukaryotes. While all aspects of plant protein phosphorylation research have grown in the past 10 years; phosphorylation site mapping using high-resolution mass spectrometry has grown exponentially. In Arabidopsis alone there are thousands of experimentally determined phosphorylation sites. To archive these events in a user-intuitive format we have developed P 3DB, the Plant Protein Phosphorylation Database ( p3db.org). This database is a repository for plant protein phosphorylation site data, currently hosting information on 32,963 non-redundant sites collated from 23 experimental studies from six plant species. These data can be queried for a protein-of-interest using an integrated BLAST module to query similar sequences with known phosphorylation sites among the multiple plants currently investigated. The paper demonstrates how this resource can help identify functionally conserved phosphorylation sites in plants using a multi-system approach.

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          Most cited references35

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          PhosphoSitePlus: a comprehensive resource for investigating the structure and function of experimentally determined post-translational modifications in man and mouse

          PhosphoSitePlus (http://www.phosphosite.org) is an open, comprehensive, manually curated and interactive resource for studying experimentally observed post-translational modifications, primarily of human and mouse proteins. It encompasses 1 30 000 non-redundant modification sites, primarily phosphorylation, ubiquitinylation and acetylation. The interface is designed for clarity and ease of navigation. From the home page, users can launch simple or complex searches and browse high-throughput data sets by disease, tissue or cell line. Searches can be restricted by specific treatments, protein types, domains, cellular components, disease, cell types, cell lines, tissue and sequences or motifs. A few clicks of the mouse will take users to substrate pages or protein pages with sites, sequences, domain diagrams and molecular visualization of side-chains known to be modified; to site pages with information about how the modified site relates to the functions of specific proteins and cellular processes and to curated information pages summarizing the details from one record. PyMOL and Chimera scripts that colorize reactive groups on residues that are modified can be downloaded. Features designed to facilitate proteomic analyses include downloads of modification sites, kinase–substrate data sets, sequence logo generators, a Cytoscape plugin and BioPAX download to enable pathway visualization of the kinase–substrate interactions in PhosphoSitePlus®.
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            Phospho.ELM: a database of phosphorylation sites—update 2011

            The Phospho.ELM resource (http://phospho.elm.eu.org) is a relational database designed to store in vivo and in vitro phosphorylation data extracted from the scientific literature and phosphoproteomic analyses. The resource has been actively developed for more than 7 years and currently comprises 42 574 serine, threonine and tyrosine non-redundant phosphorylation sites. Several new features have been implemented, such as structural disorder/order and accessibility information and a conservation score. Additionally, the conservation of the phosphosites can now be visualized directly on the multiple sequence alignment used for the score calculation. Finally, special emphasis has been put on linking to external resources such as interaction networks and other databases.
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              Exploiting heterogeneous sequence properties improves prediction of protein disorder.

              During the past few years we have investigated methods to improve predictors of intrinsically disordered regions longer than 30 consecutive residues. Experimental evidence, however, showed that these predictors were less successful on short disordered regions, as observed two years ago during the fifth Critical Assessment of Techniques for Protein Structure Prediction (CASP5). To address this shortcoming, we developed a two-level model called VSL1 (CASP6 id: 193-1). At the first level, VSL1 consists of two specialized predictors, one of which was optimized for long disordered regions (>30 residues) and the other for short disordered regions (< or =30 residues). At the second level, a meta-predictor was built to assign weights for combining the two first-level predictors. As the results of the CASP6 experiment showed, this new predictor has achieved the highest accuracy yet and significantly improved performance on short disordered regions, while maintaining high performance on long disordered regions. 2005 Wiley-Liss, Inc.
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                Author and article information

                Journal
                Front Plant Sci
                Front Plant Sci
                Front. Plant Sci.
                Frontiers in Plant Science
                Frontiers Research Foundation
                1664-462X
                07 September 2012
                2012
                : 3
                : 206
                Affiliations
                [1] 1simpleDepartment of Computer Science, University of Missouri Columbia, MO, USA
                [2] 2simpleBond Life Science Center, University of Missouri Columbia, MO, USA
                [3] 3simpleComputational Biology Center, Memorial Sloan-Kettering Cancer Center New York, NY, USA
                [4] 4simpleDepartment of Biochemistry, University of Missouri Columbia, MO, USA
                Author notes

                Edited by: Joshua L. Heazlewood, Lawrence Berkeley National Laboratory, USA

                Reviewed by: Dirk Walther, Max Planck Institute for Molecular Plant Physiology, Germany; Borjana Arsova, Heinrich-Heine University, Germany

                *Correspondence: Jay J. Thelen, Department of Biochemistry, Christopher S. Bond Life Sciences Center, 271G Bond Life Sciences Center, University of Missouri, Columbia, MO 65211, USA. e-mail: thelenj@ 123456missouri.edu

                This article was submitted to Frontiers in Plant Proteomics, a specialty of Frontiers in Plant Science.

                Article
                10.3389/fpls.2012.00206
                3435559
                22973285
                97fe1db1-4440-49ce-85c3-cef6b9db46e7
                Copyright © 2012 Yao, Bollinger, Gao, Xu and Thelen.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in other forums, provided the original authors and source are credited and subject to any copyright notices concerning any third-party graphics etc.

                History
                : 30 May 2012
                : 14 August 2012
                Page count
                Figures: 4, Tables: 2, Equations: 0, References: 38, Pages: 8, Words: 4374
                Categories
                Plant Science
                Original Research

                Plant science & Botany
                mass spectrometry,p3db,data repository,protein phosphorylation,phosphoproteomics,plants

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