| Title |
Conotoxins and the posttranslational modification of secreted gene products
|
|---|---|
| Published in |
Cellular and Molecular Life Sciences, November 2005
|
| DOI | 10.1007/s00018-005-5283-0 |
| Pubmed ID | |
| Authors |
O. Buczek, G. Bulaj, B. M. Olivera |
| Abstract |
The venoms of predatory cone snails (genus Conus) have yielded a complex library of about 50-100,000 bioactive peptides, each believed to have a specific physiological target (although peptides from different species may overlap in their target specificity). Conus has evolved the equivalent of a drug development strategy that combines the accelerated evolution of toxin sequences with an unprecedented degree of posttranslational modification. Some Conus venom peptide families are the most highly posttranslationally modified classes of gene products known. We review the variety and complexity of posttranslational modifications documented in Conus peptides so far, and explore the potential of Conus venom peptides as a model system for a more general understanding of which secreted gene products may have modified amino acids. Although the database of modified conotoxins is growing rapidly, there are far more questions raised than answers provided about possible mechanisms and functions of posttranslational modifications in Conus. |
Mendeley readers
The data shown below were compiled from readership statistics for 151 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| Spain | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 148 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 36 | 24% |
| Student > Master | 29 | 19% |
| Researcher | 19 | 13% |
| Student > Bachelor | 17 | 11% |
| Student > Postgraduate | 8 | 5% |
| Other | 19 | 13% |
| Unknown | 23 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 54 | 36% |
| Biochemistry, Genetics and Molecular Biology | 32 | 21% |
| Chemistry | 21 | 14% |
| Pharmacology, Toxicology and Pharmaceutical Science | 5 | 3% |
| Computer Science | 2 | 1% |
| Other | 10 | 7% |
| Unknown | 27 | 18% |
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 August 2015.
All research outputs
#7,845,540
of 23,794,258 outputs
Outputs from Cellular and Molecular Life Sciences
#1,655
of 4,151 outputs
Outputs of similar age
#39,127
of 150,139 outputs
Outputs of similar age from Cellular and Molecular Life Sciences
#23
of 42 outputs
Altmetric has tracked 23,794,258 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
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