Name
Abstract | ||
|---|---|---|
In this article, we consider p-adic modeling of the standard genetic code and the vertebrate mitochondrial one. To this end, we use 5-adic and 2-adic distance as a mathematical tool to describe closeness (nearness, similarity) between codons as elements of a bioinformation space. Codons which are simultaneously at the smallest 5-adic and 2-adic distance code the same (or similar) amino acid or stop signal. The set of codons is presented as an ultrametric tree as well as a fractal and p-adic network. It is shown that genetic code can be treated as sequential translation between genetic languages. This p-adic approach gives possibility to be applied to sequences of nucleotides of an arbitrary finite length. We present an overview of published and some new results on various p-adic properties of the genetic code. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.biosystems.2019.104017 | Biosystems |
Keywords | DocType | Volume |
Genetic code,p-Adic distance,Ultrametric codon tree,Amino acids,Genetic language,p-Adic network,Bioinformation | Journal | 185 |
ISSN | Citations | PageRank |
0303-2647 | 0 | 0.34 |
References | Authors | |
0 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Branko Dragovich | 1 | 30 | 5.87 |
| Natasa Z. Misic | 2 | 0 | 0.34 |