Title |
Toxin structures as evolutionary tools: Using conserved 3D folds to study the evolution of rapidly evolving peptides
|
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Published in |
BioEssays, May 2016
|
DOI | 10.1002/bies.201500165 |
Pubmed ID | |
Authors |
Eivind A B Undheim, Mehdi Mobli, Glenn F King |
Abstract |
Three-dimensional (3D) structures have been used to explore the evolution of proteins for decades, yet they have rarely been utilized to study the molecular evolution of peptides. Here, we highlight areas in which 3D structures can be particularly useful for studying the molecular evolution of peptide toxins. Although we focus our discussion on animal toxins, including one of the most widespread disulfide-rich peptide folds known, the inhibitor cystine knot, our conclusions should be widely applicable to studies of the evolution of disulfide-constrained peptides. We show that conserved 3D folds can be used to identify evolutionary links and test hypotheses regarding the evolutionary origin of peptides with extremely low sequence identity; construct accurate multiple sequence alignments; and better understand the evolutionary forces that drive the molecular evolution of peptides. Also watch the video abstract. |
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Country | Count | As % |
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Spain | 1 | 20% |
Australia | 1 | 20% |
Germany | 1 | 20% |
Unknown | 2 | 40% |
Demographic breakdown
Type | Count | As % |
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Scientists | 3 | 60% |
Members of the public | 2 | 40% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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United Kingdom | 1 | 2% |
Unknown | 49 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 12 | 24% |
Student > Ph. D. Student | 9 | 18% |
Student > Master | 6 | 12% |
Professor > Associate Professor | 3 | 6% |
Student > Doctoral Student | 2 | 4% |
Other | 7 | 14% |
Unknown | 11 | 22% |
Readers by discipline | Count | As % |
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Biochemistry, Genetics and Molecular Biology | 12 | 24% |
Agricultural and Biological Sciences | 11 | 22% |
Chemistry | 5 | 10% |
Medicine and Dentistry | 3 | 6% |
Pharmacology, Toxicology and Pharmaceutical Science | 2 | 4% |
Other | 5 | 10% |
Unknown | 12 | 24% |