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蛋白质磷酸化的计算资源综述。

A summary of computational resources for protein phosphorylation.

机构信息

Hubei Bioinformatics and Molecular Imaging Key Laboratory, Department of Systems Biology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China.

出版信息

Curr Protein Pept Sci. 2010 Sep;11(6):485-96. doi: 10.2174/138920310791824138.

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.

摘要

蛋白质磷酸化是最普遍的翻译后修饰(PTM),在大多数生物过程中发挥着重要作用。鉴定特定位点的磷酸化底物对于理解磷酸化的分子机制是至关重要的。除了实验方法外,计算方法预测潜在的候选物因其方便、快速和低成本也引起了极大的关注。在这篇综述中,我们全面但简要地总结了蛋白质磷酸化的计算资源,包括磷酸化数据库、非特异性或特定于生物体的磷酸化位点预测、激酶特异性磷酸化位点或磷酸结合基序预测以及其他工具。蛋白质磷酸化计算资源的最新纲要可在以下网址获得:http://gps.biocuckoo.org/links.php。

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