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Activity-Based Protein Profiling

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

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 120 Applications of Reactive Cysteine Profiling
  3. Altmetric Badge
    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
  6. Altmetric Badge
    Chapter 125 Opportunities and Challenges in Activity-Based Protein Profiling of Mycobacteria
  7. Altmetric Badge
    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
  9. Altmetric Badge
    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
  15. Altmetric Badge
    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 133: Activity-Based Protein Profiling of Non-ribosomal Peptide Synthetases
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  • Above-average Attention Score compared to outputs of the same age (52nd percentile)

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Chapter title
Activity-Based Protein Profiling of Non-ribosomal Peptide Synthetases
Chapter number 133
Book title
Activity-Based Protein Profiling
Published in
Current topics in microbiology and immunology, September 2018
DOI 10.1007/82_2018_133
Pubmed ID
Book ISBNs
978-3-03-011142-7, 978-3-03-011143-4
Authors

Ishikawa, Fumihiro, Tanabe, Genzoh, Kakeya, Hideaki, Fumihiro Ishikawa, Genzoh Tanabe, Hideaki Kakeya

Abstract

Non-ribosomal peptide (NRP) natural products are one of the most promising resources for drug discovery and development because of their wide-ranging of therapeutic potential, and their behavior as virulence factors and signaling molecules. The NRPs are biosynthesized independently of the ribosome by enzyme assembly lines known as the non-ribosomal peptide synthetase (NRPS) machinery. Genetic, biochemical, and bioinformatics analyses have provided a detailed understanding of the mechanism of NRPS catalysis. However, proteomic techniques for natural product biosynthesis remain a developing field. New strategies are needed to investigate the proteomes of diverse producer organisms and directly analyze the endogenous NRPS machinery. Advanced platforms should verify protein expression, protein folding, and activities and also enable the profiling of the NRPS machinery in biological samples from wild-type, heterologous, and engineered bacterial systems. Here, we focus on activity-based protein profiling strategies that have been recently developed for studies aimed at visualizing and monitoring the NRPS machinery and also for rapid labeling, identification, and biochemical analysis of NRPS enzyme family members as required for proteomic chemistry in natural product sciences.

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X Demographics

The data shown below were collected from the profiles of 5 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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 1 9%
Student > Doctoral Student 1 9%
Professor 1 9%
Student > Master 1 9%
Researcher 1 9%
Other 0 0%
Unknown 6 55%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 27%
Engineering 1 9%
Unknown 7 64%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 25 September 2018.
All research outputs
#12,913,076
of 23,102,082 outputs
Outputs from Current topics in microbiology and immunology
#339
of 684 outputs
Outputs of similar age
#155,840
of 335,392 outputs
Outputs of similar age from Current topics in microbiology and immunology
#8
of 11 outputs
Altmetric has tracked 23,102,082 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% 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 49th percentile – i.e., 49% 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 335,392 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.