Abstract
Protein phosphorylation is the most ubiquitous post-translational modification (PTM), and plays important roles in most of biological processes. Identification of site-specific phosphorylated substrates is fundamental for understanding the molecular mechanisms of phosphorylation. Besides experimental approaches, prediction of potential candidates with computational methods has also attracted great attention for its convenience, fast-speed and low-cost. In this review, we present a comprehensive but brief summarization of computational resources of protein phosphorylation, including phosphorylation databases, prediction of non-specific or organism-specific phosphorylation sites, prediction of kinase-specific phosphorylation sites or phospho-binding motifs, and other tools. The latest compendium of computational resources for protein phosphorylation is available at: http://gps.biocuckoo.org/links.php
Keywords: Phosphorylation, post-translational modification, kinase-specific, phospho-binding motif, phosphorylation network
Current Protein & Peptide Science
Title: A Summary of Computational Resources for Protein Phosphorylation
Volume: 11 Issue: 6
Author(s): Yu Xue, Xinjiao Gao, Jun Cao, Zexian Liu, Changjiang Jin, Longping Wen, Xuebiao Yao and Jian Ren
Affiliation:
Keywords: Phosphorylation, post-translational modification, kinase-specific, phospho-binding motif, phosphorylation network
Abstract: Protein phosphorylation is the most ubiquitous post-translational modification (PTM), and plays important roles in most of biological processes. Identification of site-specific phosphorylated substrates is fundamental for understanding the molecular mechanisms of phosphorylation. Besides experimental approaches, prediction of potential candidates with computational methods has also attracted great attention for its convenience, fast-speed and low-cost. In this review, we present a comprehensive but brief summarization of computational resources of protein phosphorylation, including phosphorylation databases, prediction of non-specific or organism-specific phosphorylation sites, prediction of kinase-specific phosphorylation sites or phospho-binding motifs, and other tools. The latest compendium of computational resources for protein phosphorylation is available at: http://gps.biocuckoo.org/links.php
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Cite this article as:
Xue Yu, Gao Xinjiao, Cao Jun, Liu Zexian, Jin Changjiang, Wen Longping, Yao Xuebiao and Ren Jian, A Summary of Computational Resources for Protein Phosphorylation, Current Protein & Peptide Science 2010; 11(6) . https://dx.doi.org/10.2174/138920310791824138
DOI https://dx.doi.org/10.2174/138920310791824138 |
Print ISSN 1389-2037 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-5550 |

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