| Title |
Harnessing natural product assembly lines: structure, promiscuity, and engineering
|
|---|---|
| Published in |
Journal of Industrial Microbiology & Biotechnology, March 2016
|
| DOI | 10.1007/s10295-015-1704-8 |
| Pubmed ID | |
| Authors |
Christopher C Ladner, Gavin J Williams |
| Abstract |
Many therapeutically relevant natural products are biosynthesized by the action of giant mega-enzyme assembly lines. By leveraging the specificity, promiscuity, and modularity of assembly lines, a variety of strategies has been developed that enables the biosynthesis of modified natural products. This review briefly summarizes recent structural advances related to natural product assembly lines, discusses chemical approaches to probing assembly line structures in the absence of traditional biophysical data, and surveys efforts that harness the inherent or engineered promiscuity of assembly lines for the synthesis of non-natural polyketides and non-ribosomal peptide analogues. |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 33% |
| Australia | 1 | 17% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 50% |
| Members of the public | 3 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 4% |
| Japan | 1 | 1% |
| Unknown | 86 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 30 | 33% |
| Researcher | 12 | 13% |
| Student > Master | 12 | 13% |
| Student > Bachelor | 9 | 10% |
| Student > Doctoral Student | 6 | 7% |
| Other | 15 | 16% |
| Unknown | 7 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 26 | 29% |
| Biochemistry, Genetics and Molecular Biology | 25 | 27% |
| Chemistry | 19 | 21% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 3% |
| Chemical Engineering | 3 | 3% |
| Other | 5 | 5% |
| Unknown | 10 | 11% |
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 04 November 2015.
All research outputs
#14,599,900
of 25,373,627 outputs
Outputs from Journal of Industrial Microbiology & Biotechnology
#1,209
of 1,612 outputs
Outputs of similar age
#146,590
of 312,604 outputs
Outputs of similar age from Journal of Industrial Microbiology & Biotechnology
#9
of 27 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,612 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 24th percentile – i.e., 24% 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 312,604 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 27 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 62% of its contemporaries.