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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Interaction of chloramphenicol tripeptide analogs with ribosomes
|
|---|---|
| Published in |
Biochemistry, May 2016
|
| DOI | 10.1134/s000629791604009x |
| Pubmed ID | |
| Authors |
A. G. Tereshchenkov, A. V. Shishkina, V. N. Tashlitsky, G. A. Korshunova, A. A. Bogdanov, N. V. Sumbatyan |
| Abstract |
Chloramphenicol amine peptide derivatives containing tripeptide fragments of regulatory "stop peptides" - MRL, IRA, IWP - were synthesized. The ability of the compounds to form ribosomal complexes was studied by displacement of the fluorescent erythromycin analog from its complex with E. coli ribosomes. It was found that peptide chloramphenicol analogs are able to bind to bacterial ribosomes. The dissociation constants were 4.3-10 µM, which is 100-fold lower than the corresponding values for chloramphenicol amine-ribosome complex. Interaction of the chloramphenicol peptide analogs with ribosomes was simulated by molecular docking, and the most probable contacts of "stop peptide" motifs with the elements of nascent peptide exit tunnel were identified. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
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 % |
|---|---|---|
| Other | 1 | 9% |
| Lecturer | 1 | 9% |
| Student > Doctoral Student | 1 | 9% |
| Student > Bachelor | 1 | 9% |
| Student > Ph. D. Student | 1 | 9% |
| Other | 1 | 9% |
| Unknown | 5 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 2 | 18% |
| Biochemistry, Genetics and Molecular Biology | 1 | 9% |
| Environmental Science | 1 | 9% |
| Immunology and Microbiology | 1 | 9% |
| Agricultural and Biological Sciences | 1 | 9% |
| Other | 0 | 0% |
| Unknown | 5 | 45% |
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 14 June 2016.
All research outputs
#22,759,802
of 25,374,917 outputs
Outputs from Biochemistry
#21,450
of 22,289 outputs
Outputs of similar age
#289,511
of 333,262 outputs
Outputs of similar age from Biochemistry
#155
of 165 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22,289 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 1st percentile – i.e., 1% 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 333,262 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 165 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.