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Elucidation of the glycosylation steps during biosynthesis of antitumor macrolides PM100117 and PM100118 and engineering for novel derivatives

Overview of attention for article published in Microbial Cell Factories, November 2016
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1 X user
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1 peer review site
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12 Mendeley
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Title
Elucidation of the glycosylation steps during biosynthesis of antitumor macrolides PM100117 and PM100118 and engineering for novel derivatives
Published in
Microbial Cell Factories, November 2016
DOI 10.1186/s12934-016-0591-7
Pubmed ID
Authors

Raúl García Salcedo, Carlos Olano, Rogelio Fernández, Alfredo F. Braña, Carmen Méndez, Fernando de la Calle, José A. Salas

Abstract

Antitumor compounds PM100117 and PM100118 are glycosylated polyketides derived from the marine actinobacteria Streptomyces caniferus GUA-06-05-006A. The organization and characterization of the PM100117/18 biosynthesis gene cluster has been recently reported. Based on the preceding information and new genetic engineering data, we have outlined the pathway by which PM100117/18 are glycosylated. Furthermore, these genetic engineering experiments have allowed the generation of novel PM100117/18 analogues. Deletion of putative glycosyltranferase genes and additional genes presumably involved in late biosynthesis steps of the three 2,6-dideoxysugars appended to the PM100117/18 polyketide skeleton, resulted in the generation of a series of intermediates and novel derivatives. Isolation and identification of the novel compounds constitutes an important contribution to our knowledge on PM100117/18 glycosylation, and set the basis for further characterization of specific enzymatic reactions, additional genetic engineering and combinatorial biosynthesis approaches.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 2 17%
Student > Ph. D. Student 2 17%
Student > Bachelor 1 8%
Professor > Associate Professor 1 8%
Researcher 1 8%
Other 0 0%
Unknown 5 42%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 17%
Chemistry 2 17%
Agricultural and Biological Sciences 1 8%
Medicine and Dentistry 1 8%
Economics, Econometrics and Finance 1 8%
Other 0 0%
Unknown 5 42%
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 30 November 2016.
All research outputs
#13,996,981
of 22,901,818 outputs
Outputs from Microbial Cell Factories
#851
of 1,605 outputs
Outputs of similar age
#173,212
of 313,012 outputs
Outputs of similar age from Microbial Cell Factories
#19
of 35 outputs
Altmetric has tracked 22,901,818 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,605 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 45th percentile – i.e., 45% 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 313,012 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.