↓ Skip to main content

Protein Bioinformatics

Overview of attention for book
Cover of 'Protein Bioinformatics'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Protein Bioinformatics Databases and Resources
  3. Altmetric Badge
    Chapter 2 UniProt Protein Knowledgebase
  4. Altmetric Badge
    Chapter 3 Tutorial on Protein Ontology Resources
  5. Altmetric Badge
    Chapter 4 CATH-Gene3D: Generation of the Resource and Its Use in Obtaining Structural and Functional Annotations for Protein Sequences
  6. Altmetric Badge
    Chapter 5 Structure-Based Virtual Screening
  7. Altmetric Badge
    Chapter 6 Bioinformatics Analysis of Protein Phosphorylation in Plant Systems Biology Using P3DB
  8. Altmetric Badge
    Chapter 7 Navigating the Glycome Space and Connecting the Glycoproteome
  9. Altmetric Badge
    Chapter 8 Impact of Nonsynonymous Single-Nucleotide Variations on Post-Translational Modification Sites in Human Proteins
  10. Altmetric Badge
    Chapter 9 Analysis of Cysteine Redox Post-Translational Modifications in Cell Biology and Drug Pharmacology
  11. Altmetric Badge
    Chapter 10 Analysis of Protein Phosphorylation and Its Functional Impact on Protein–Protein Interactions via Text Mining of the Scientific Literature
  12. Altmetric Badge
    Chapter 11 Functional Interaction Network Construction and Analysis for Disease Discovery
  13. Altmetric Badge
    Chapter 12 Prediction of Protein Interactions by Structural Matching: Prediction of PPI Networks and the Effects of Mutations on PPIs that Combines Sequence and Structural Information
  14. Altmetric Badge
    Chapter 13 NDEx: A Community Resource for Sharing and Publishing of Biological Networks
  15. Altmetric Badge
    Chapter 14 Bioinformatics Analysis of Functional Associations of PTMs
  16. Altmetric Badge
    Chapter 15 Bioinformatics Analysis of PTM-Modified Protein Interaction Networks and Complexes
  17. Altmetric Badge
    Chapter 16 iPTMnet: Integrative Bioinformatics for Studying PTM Networks
  18. Altmetric Badge
    Chapter 17 Protein Identification from Tandem Mass Spectra by Database Searching
  19. Altmetric Badge
    Chapter 18 Bioinformatics Analysis of Top-Down Mass Spectrometry Data with ProSight Lite
  20. Altmetric Badge
    Chapter 19 Mapping Biological Networks from Quantitative Data-Independent Acquisition Mass Spectrometry: Data to Knowledge Pipelines
  21. Altmetric Badge
    Chapter 20 Annotation of Alternatively Spliced Proteins and Transcripts with Protein-Folding Algorithms and Isoform-Level Functional Networks
  22. Altmetric Badge
    Chapter 21 Computational and Statistical Methods for High-Throughput Mass Spectrometry-Based PTM Analysis
  23. Altmetric Badge
    Chapter 22 Cross-Species PTM Mapping from Phosphoproteomic Data
Attention for Chapter 6: Bioinformatics Analysis of Protein Phosphorylation in Plant Systems Biology Using P3DB
Altmetric Badge

Citations

dimensions_citation
26 Dimensions

Readers on

mendeley
8 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Bioinformatics Analysis of Protein Phosphorylation in Plant Systems Biology Using P3DB
Chapter number 6
Book title
Protein Bioinformatics
Published in
Methods in molecular biology, February 2017
DOI 10.1007/978-1-4939-6783-4_6
Pubmed ID
Book ISBNs
978-1-4939-6781-0, 978-1-4939-6783-4
Authors

Qiuming Yao, Dong Xu

Editors

Cathy H. Wu, Cecilia N. Arighi, Karen E. Ross

Abstract

Protein phosphorylation is one of the most pervasive protein post-translational modification events in plant cells. It is involved in many plant biological processes, such as plant growth, organ development, and plant immunology, by regulating or switching signaling and metabolic pathways. High-throughput experimental methods like mass spectrometry can easily characterize hundreds to thousands of phosphorylation events in a single experiment. With the increasing volume of the data sets, Plant Protein Phosphorylation DataBase (P3DB, http://p3db.org ) provides a comprehensive, systematic, and interactive online platform to deposit, query, analyze, and visualize these phosphorylation events in many plant species. It stores the protein phosphorylation sites in the context of identified mass spectra, phosphopeptides, and phosphoproteins contributed from various plant proteome studies. In addition, P3DB associates these plant phosphorylation sites to protein physicochemical information in the protein charts and tertiary structures, while various protein annotations from hierarchical kinase phosphatase families, protein domains, and gene ontology are also added into the database. P3DB not only provides rich information, but also interconnects and provides visualization of the data in networks, in systems biology context. Currently, P3DB includes the KiC (Kinase Client) assay network, the protein-protein interaction network, the kinase-substrate network, the phosphatase-substrate network, and the protein domain co-occurrence network. All of these are available to query for and visualize existing phosphorylation events. Although P3DB only hosts experimentally identified phosphorylation data, it provides a plant phosphorylation prediction model for any unknown queries on the fly. P3DB is an entry point to the plant phosphorylation community to deposit and visualize any customized data sets within this systems biology framework. Nowadays, P3DB has become one of the major bioinformatics platforms of protein phosphorylation in plant biology.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 25%
Professor 1 13%
Student > Doctoral Student 1 13%
Unknown 4 50%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 13%
Computer Science 1 13%
Agricultural and Biological Sciences 1 13%
Social Sciences 1 13%
Unknown 4 50%