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Activity-Based Protein Profiling

Overview of attention for book
Cover of 'Activity-Based Protein Profiling'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 120 Applications of Reactive Cysteine Profiling
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    Chapter 121 Target Identification of Bioactive Covalently Acting Natural Products
  4. Altmetric Badge
    Chapter 123 Activity-Based Protein Profiling for the Study of Parasite Biology
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    Chapter 124 Deciphering T Cell Immunometabolism with Activity-Based Protein Profiling
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    Chapter 125 Opportunities and Challenges in Activity-Based Protein Profiling of Mycobacteria
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    Chapter 126 Chemical Proteomic Profiling of Protein Fatty-Acylation in Microbial Pathogens
  8. Altmetric Badge
    Chapter 127 Opportunities for Lipid-Based Probes in the Field of Immunology
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    Chapter 128 Activity-Based Protein Profiling—Enabling Multimodal Functional Studies of Microbial Communities
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    Chapter 129 Activity-Based Protein Profiling at the Host–Pathogen Interface
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    Chapter 132 Development of Activity-Based Proteomic Probes for Protein Citrullination
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    Chapter 133 Activity-Based Protein Profiling of Non-ribosomal Peptide Synthetases
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    Chapter 134 How to Target Viral and Bacterial Effector Proteins Interfering with Ubiquitin Signaling
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    Chapter 135 Activity-Based Protein Profiling Methods to Study Bacteria: The Power of Small-Molecule Electrophiles
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    Chapter 137 Small-Molecule Inhibitors of PARPs: From Tools for Investigating ADP-Ribosylation to Therapeutics
  16. Altmetric Badge
    Chapter 138 Recent Advances in Activity-Based Protein Profiling of Proteases
  17. Altmetric Badge
    Chapter 139 ABPP and Host–Virus Interactions
Attention for Chapter 126: Chemical Proteomic Profiling of Protein Fatty-Acylation in Microbial Pathogens
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Chapter title
Chemical Proteomic Profiling of Protein Fatty-Acylation in Microbial Pathogens
Chapter number 126
Book title
Activity-Based Protein Profiling
Published in
Current topics in microbiology and immunology, August 2018
DOI 10.1007/82_2018_126
Pubmed ID
30128826
Book ISBNs
978-3-03-011142-7, 978-3-03-011143-4
Authors

Tao Peng, Howard C. Hang, Peng, Tao, Hang, Howard C.

Abstract

Protein fatty-acylation describes the covalent modification of protein with fatty acids during or after translation. Chemical proteomic profiling methods have provided new opportunities to explore protein fatty-acylation in microbial pathogens. Recent studies suggest that protein fatty-acylation is essential to survival and pathogenesis of eukaryotic pathogens such as parasites and fungi. Moreover, fatty-acylation in host cells can be exploited or manipulated by pathogenic bacteria. Herein, we first review the prevalent classes of fatty-acylation in microbial pathogens and the chemical proteomic profiling methods for their global analysis. We then summarize recent fatty-acylation profiling studies performed in eukaryotic pathogens and during bacterial infections, highlighting how they contribute to functional characterization of fatty-acylation under these contexts.

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X Demographics

The data shown below were collected from the profile of 1 X user 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 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 67%
Student > Bachelor 1 17%
Unknown 1 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 33%
Computer Science 1 17%
Immunology and Microbiology 1 17%
Chemistry 1 17%
Unknown 1 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 22 August 2018.
All research outputs
#18,647,094
of 23,100,534 outputs
Outputs from Current topics in microbiology and immunology
#531
of 684 outputs
Outputs of similar age
#256,460
of 333,760 outputs
Outputs of similar age from Current topics in microbiology and immunology
#12
of 12 outputs
Altmetric has tracked 23,100,534 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 684 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one is in the 11th percentile – i.e., 11% of its peers scored the same or lower than it.
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 333,760 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.

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