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Plant Phosphoproteomics

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Cover of 'Plant Phosphoproteomics'

Table of Contents

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    Book Overview
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    Chapter 1 The Plant Kinome
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    Chapter 2 Phosphatases in plants.
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    Chapter 3 Phosphoproteomics in cereals.
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    Chapter 4 Screening of Kinase Substrates Using Kinase Knockout Mutants
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    Chapter 5 Phosphopeptide Profiling of Receptor Kinase Mutants
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    Chapter 6 Combining Metabolic (15)N Labeling with Improved Tandem MOAC for Enhanced Probing of the Phosphoproteome.
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    Chapter 7 Kinase activity and specificity assay using synthetic peptides.
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    Chapter 8 Absolute quantitation of protein posttranslational modification isoform.
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    Chapter 9 Phosphorylation Stoichiometry Determination in Plant Photosynthetic Membranes
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    Chapter 10 Phosphopeptide immuno-affinity enrichment to enhance detection of tyrosine phosphorylation in plants.
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    Chapter 11 The Peptide Microarray ChloroPhos1.0: A Screening Tool for the Identification of Arabidopsis thaliana Chloroplast Protein Kinase Substrates
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    Chapter 12 Plant Protein Kinase Substrates Identification Using Protein Microarrays
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    Chapter 13 Targeted Analysis of Protein Phosphorylation by 2D Electrophoresis.
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    Chapter 14 Computational phosphorylation network reconstruction: methods and resources.
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    Chapter 15 Computational Identification of Protein Kinases and Kinase-Specific Substrates in Plants
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    Chapter 16 Databases for plant phosphoproteomics.
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    Chapter 17 Phosphorylation Site Prediction in Plants
Attention for Chapter 15: Computational Identification of Protein Kinases and Kinase-Specific Substrates in Plants
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Chapter title
Computational Identification of Protein Kinases and Kinase-Specific Substrates in Plants
Chapter number 15
Book title
Plant Phosphoproteomics
Published in
Methods in molecular biology, January 2015
DOI 10.1007/978-1-4939-2648-0_15
Pubmed ID
Book ISBNs
978-1-4939-2647-3, 978-1-4939-2648-0
Authors

Han Cheng, Yongbo Wang, Zexian Liu, Yu Xue, Cheng, Han, Wang, Yongbo, Liu, Zexian, Xue, Yu

Abstract

The protein phosphorylation catalyzed by protein kinases (PKs) plays an essential role in almost all biological progresses in plants. Thus, the identification of PKs and kinase-specific substrates is fundamental for understanding the regulatory mechanisms of protein phosphorylation especially in controlling plant growth and development. In this chapter, we describe the computational methods and protocols for the identification of PKs and kinase-specific substrates in plants, by using Vitis vinifera as an example. First, the proteome sequences and experimentally identified phosphorylation sites (p-sites) in Vitis vinifera were downloaded. The potential PKs were computationally identified based on preconstructed Hidden Markov Model (HMM) profiles and ortholog searches, whereas the kinase-specific p-sites, or site-specific kinase-substrate relations (ssKSRs) were initially predicted by the software package of Group-based Prediction System (GPS) and further processed by the iGPS algorithm (in vivo GPS) to filter potentially false positive hits. All primary data sets and prediction results of Vitis vinifera are available at: http://ekpd.biocuckoo.org/protocol.php .

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The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 25%
Researcher 1 25%
Student > Master 1 25%
Unknown 1 25%
Readers by discipline Count As %
Computer Science 2 50%
Agricultural and Biological Sciences 1 25%
Unknown 1 25%