| Title |
An Analysis of the Metabolic Theory of the Origin of the Genetic Code
|
|---|---|
| Published in |
Journal of Molecular Evolution, May 1997
|
| DOI | 10.1007/pl00006170 |
| Pubmed ID | |
| Authors |
Ramin Amirnovin |
| Abstract |
A computer program was used to test Wong's coevolution theory of the genetic code. The codon correlations between the codons of biosynthetically related amino acids in the universal genetic code and in randomly generated genetic codes were compared. It was determined that many codon correlations are also present within random genetic codes and that among the random codes there are always several which have many more correlations than that found in the universal code. Although the number of correlations depends on the choice of biosynthetically related amino acids, the probability of choosing a random genetic code with the same or greater number of codon correlations as the universal genetic code was found to vary from 0.1% to 34% (with respect to a fairly complete listing of related amino acids). Thus, Wong's theory that the genetic code arose by coevolution with the biosynthetic pathways of amino acids, based on codon correlations between biosynthetically related amino acids, is statistical in nature. |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 9% |
| Mexico | 1 | 2% |
| Netherlands | 1 | 2% |
| China | 1 | 2% |
| Unknown | 36 | 84% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 30% |
| Student > Ph. D. Student | 10 | 23% |
| Student > Bachelor | 6 | 14% |
| Other | 3 | 7% |
| Professor | 2 | 5% |
| Other | 5 | 12% |
| Unknown | 4 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 18 | 42% |
| Biochemistry, Genetics and Molecular Biology | 12 | 28% |
| Chemistry | 2 | 5% |
| Arts and Humanities | 1 | 2% |
| Environmental Science | 1 | 2% |
| Other | 4 | 9% |
| Unknown | 5 | 12% |
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 30 May 2023.
All research outputs
#8,534,528
of 25,373,627 outputs
Outputs from Journal of Molecular Evolution
#492
of 1,477 outputs
Outputs of similar age
#9,549
of 29,382 outputs
Outputs of similar age from Journal of Molecular Evolution
#10
of 17 outputs
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