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Protein Bioinformatics

Overview of attention for book
Cover of 'Protein Bioinformatics'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Protein Bioinformatics Databases and Resources
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    Chapter 2 UniProt Protein Knowledgebase
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    Chapter 3 Tutorial on Protein Ontology Resources
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    Chapter 4 CATH-Gene3D: Generation of the Resource and Its Use in Obtaining Structural and Functional Annotations for Protein Sequences
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    Chapter 5 Structure-Based Virtual Screening
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    Chapter 6 Bioinformatics Analysis of Protein Phosphorylation in Plant Systems Biology Using P3DB
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    Chapter 7 Navigating the Glycome Space and Connecting the Glycoproteome
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    Chapter 8 Impact of Nonsynonymous Single-Nucleotide Variations on Post-Translational Modification Sites in Human Proteins
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    Chapter 9 Analysis of Cysteine Redox Post-Translational Modifications in Cell Biology and Drug Pharmacology
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    Chapter 10 Analysis of Protein Phosphorylation and Its Functional Impact on Protein–Protein Interactions via Text Mining of the Scientific Literature
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    Chapter 11 Functional Interaction Network Construction and Analysis for Disease Discovery
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    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
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    Chapter 13 NDEx: A Community Resource for Sharing and Publishing of Biological Networks
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    Chapter 14 Bioinformatics Analysis of Functional Associations of PTMs
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    Chapter 15 Bioinformatics Analysis of PTM-Modified Protein Interaction Networks and Complexes
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    Chapter 16 iPTMnet: Integrative Bioinformatics for Studying PTM Networks
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    Chapter 17 Protein Identification from Tandem Mass Spectra by Database Searching
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    Chapter 18 Bioinformatics Analysis of Top-Down Mass Spectrometry Data with ProSight Lite
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    Chapter 19 Mapping Biological Networks from Quantitative Data-Independent Acquisition Mass Spectrometry: Data to Knowledge Pipelines
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    Chapter 20 Annotation of Alternatively Spliced Proteins and Transcripts with Protein-Folding Algorithms and Isoform-Level Functional Networks
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    Chapter 21 Computational and Statistical Methods for High-Throughput Mass Spectrometry-Based PTM Analysis
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    Chapter 22 Cross-Species PTM Mapping from Phosphoproteomic Data
Attention for Chapter 15: Bioinformatics Analysis of PTM-Modified Protein Interaction Networks and Complexes
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  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

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Chapter title
Bioinformatics Analysis of PTM-Modified Protein Interaction Networks and Complexes
Chapter number 15
Book title
Protein Bioinformatics
Published in
Methods in molecular biology, February 2017
DOI 10.1007/978-1-4939-6783-4_15
Pubmed ID
28150245
Book ISBNs
978-1-4939-6781-0, 978-1-4939-6783-4
Authors

Jonathan Woodsmith, Ulrich Stelzl, Arunachalam Vinayagam

Editors

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

Abstract

Normal cellular functioning is maintained by macromolecular machines that control both core and specialized molecular tasks. These machines are in large part multi-subunit protein complexes that undergo regulation at multiple levels, from expression of requisite components to a vast array of post-translational modifications (PTMs). PTMs such as phosphorylation, ubiquitination, and acetylation currently number more than 200,000 in the human proteome and function within all molecular pathways. Here we provide a framework for systematically studying these PTMs in the context of global protein-protein interaction networks. This analytical framework allows insight into which functions specific PTMs tend to cluster in, and furthermore which complexes either single or multiple PTM signaling pathways converge on.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 22%
Student > Bachelor 1 11%
Researcher 1 11%
Student > Master 1 11%
Unknown 4 44%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 33%
Agricultural and Biological Sciences 2 22%
Unknown 4 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 February 2017.
All research outputs
#16,592,728
of 25,200,621 outputs
Outputs from Methods in molecular biology
#5,278
of 14,137 outputs
Outputs of similar age
#256,683
of 431,536 outputs
Outputs of similar age from Methods in molecular biology
#450
of 1,184 outputs
Altmetric has tracked 25,200,621 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,137 research outputs from this source. They receive a mean Attention Score of 3.5. This one has gotten more attention than average, scoring higher than 58% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 431,536 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,184 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.

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