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| Title |
Nomenclature of homodetic cyclic peptides produced from ribosomal precursors: An IUPAC task group interim report
|
|---|---|
| Published in |
Biospectroscopy, November 2016
|
| DOI | 10.1002/bip.22939 |
| Pubmed ID | |
| Authors |
David J. Craik, Youn Young Shim, Ulf Göransson, Gerard P. Moss, Ninghua Tan, Pramodkumar D. Jadhav, Jianheng Shen, Martin J. T. Reaney |
| Abstract |
In 2015, an International Union of Pure and Applied Chemistry (IUPAC) Task Group was formed to develop nomenclature recommendations for homodetic cyclic peptides produced from ribosomal precursors. Delegates of the 2015 International Conference on Circular Proteins (ICCP) were presented with the strengths and weaknesses of four published approaches to homodetic cyclic peptide nomenclature, and a summary of the ensuing discussion is presented here. This interim report presents a potentially novel suggestion - the use of Cahn-Ingold-Prelog rules to specify amino acid priority in homodetic peptides for consistent numbering. Indeed, this might be the first extension of the Cahn-Ingold-Prelog rules in five decades. The authors invite interested parties to contact the corresponding author with suggestions for the improvement of the proposed nomenclature; these ideas will be discussed and considered for inclusion in the final report. This article is protected by copyright. All rights reserved. |
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 % |
|---|---|---|
| Unknown | 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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 14 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 29% |
| Researcher | 4 | 29% |
| Student > Bachelor | 1 | 7% |
| Student > Doctoral Student | 1 | 7% |
| Unknown | 4 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 3 | 21% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 14% |
| Agricultural and Biological Sciences | 2 | 14% |
| Chemistry | 2 | 14% |
| Unknown | 5 | 36% |
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 29 March 2018.
All research outputs
#20,655,488
of 25,371,288 outputs
Outputs from Biospectroscopy
#1,641
of 1,867 outputs
Outputs of similar age
#311,806
of 415,170 outputs
Outputs of similar age from Biospectroscopy
#13
of 16 outputs
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So far Altmetric has tracked 1,867 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 9th percentile – i.e., 9% of its peers scored the same or lower than it.
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We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.