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. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 60% |
Australia | 1 | 20% |
Unknown | 1 | 20% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 100% |
Mendeley readers
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% |