| Title |
A genetic code Boolean structure. I. The meaning of Boolean deductions
|
|---|---|
| Published in |
Bulletin of Mathematical Biology, January 2005
|
| DOI | 10.1016/j.bulm.2004.05.005 |
| Pubmed ID | |
| Authors |
Robersy Sánchez, Eberto Morgado, Ricardo Grau |
| Abstract |
This paper proposes a genetic code Boolean structure derived from hydrogen bond numbers and chemical types of bases, purines and pyrimidines. It shows that in such Boolean structure, deductions comprise physico-chemical meaning. In particular, codons with adenine as a second base coding to hydrophilic amino acids are not deductible from codons with uracil in the same position, which code to hydrophobic amino acids. Boolean deductions could help us describe the gene evolution process. For instance, most of the reported mutations that confer drug resistance to the HIV protease gene correspond to deductions. What is more, in the human beta-globin gene a similar situation appears where most of the single codon mutations correspond to Boolean deductions from the respective wild-type codon. |
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 % |
|---|---|---|
| United Kingdom | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Cuba | 2 | 7% |
| United States | 2 | 7% |
| United Kingdom | 1 | 3% |
| France | 1 | 3% |
| Spain | 1 | 3% |
| Croatia | 1 | 3% |
| Unknown | 21 | 72% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 31% |
| Student > Ph. D. Student | 7 | 24% |
| Professor > Associate Professor | 3 | 10% |
| Student > Master | 3 | 10% |
| Other | 2 | 7% |
| Other | 4 | 14% |
| Unknown | 1 | 3% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 13 | 45% |
| Computer Science | 3 | 10% |
| Biochemistry, Genetics and Molecular Biology | 2 | 7% |
| Physics and Astronomy | 2 | 7% |
| Mathematics | 1 | 3% |
| Other | 6 | 21% |
| Unknown | 2 | 7% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 17 May 2023.
All research outputs
#2,575,747
of 25,374,917 outputs
Outputs from Bulletin of Mathematical Biology
#53
of 1,286 outputs
Outputs of similar age
#6,584
of 151,230 outputs
Outputs of similar age from Bulletin of Mathematical Biology
#1
of 2 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,286 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done particularly well, scoring higher than 95% of its peers.
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We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them