| Title |
The Protein Invasion: A Broad Review on the Origin of the Translational System
|
|---|---|
| Published in |
Journal of Molecular Evolution, October 2013
|
| DOI | 10.1007/s00239-013-9592-x |
| Pubmed ID | |
| Authors |
David W. Morgens |
| Abstract |
Translation, coded peptide synthesis, arguably exists at the heart of modern cellular life. By orchestrating an incredibly complex interaction between tRNAs, mRNAs, aaRSs, the ribosome, and numerous other small molecules, the translational system allows the interpretation of data in the form of DNA to create massively complex proteins which control and enact almost every cellular function. A natural question then, is how did this system evolve? Here we present a broad review of the existing theories of the last two decades on the origin of the translational system. We attempt to synthesize the wide variety of ideas as well as organize them into modular components, addressing the evolution of the peptide-RNA interaction, tRNA, mRNA, the ribosome, and the first proteins separately. We hope to provide both a comprehensive overview of the literature as well as a framework for future discussions and novel theories. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| Italy | 1 | 2% |
| Unknown | 45 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 17% |
| Student > Bachelor | 7 | 15% |
| Researcher | 7 | 15% |
| Student > Doctoral Student | 5 | 11% |
| Student > Master | 5 | 11% |
| Other | 9 | 19% |
| Unknown | 6 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 21 | 45% |
| Biochemistry, Genetics and Molecular Biology | 11 | 23% |
| Chemistry | 3 | 6% |
| Medicine and Dentistry | 2 | 4% |
| Physics and Astronomy | 2 | 4% |
| Other | 0 | 0% |
| Unknown | 8 | 17% |
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 04 November 2013.
All research outputs
#17,285,036
of 25,371,288 outputs
Outputs from Journal of Molecular Evolution
#1,190
of 1,477 outputs
Outputs of similar age
#140,919
of 224,741 outputs
Outputs of similar age from Journal of Molecular Evolution
#5
of 8 outputs
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