Abstract
According to the Zipf's law, the distribution of rank-ordered frequency of words in the natural language can be modelled on the power law. In this paper, we examine the frequency distribution of 64 codons over the coding and non-coding regions of 88 DNA from EMBL and GenBank database, using exponential fitting. Also, we regard 20 amino-acids as vocabulary, perform the same frequency analysis to the same database and show that amino-acids can be used as biological meaningful words for Zipf's approach. Our analysis suggests that a natural language structure may exist not only in the coding region of DNA but in the non-coding one of DNA.
| Original language | English |
|---|---|
| Pages (from-to) | 1795-1807 |
| Number of pages | 13 |
| Journal | Chaos, Solitons and Fractals |
| Volume | 23 |
| Issue number | 5 |
| DOIs | |
| Publication status | Published - 2005 Mar 1 |
Fingerprint
ASJC Scopus subject areas
- Statistical and Nonlinear Physics
Cite this
Codon and amino-acid distribution in DNA. / Kim, J. K.; Yang, S. I.; Kwon, Y. H.; Lee, Eun Il.
In: Chaos, Solitons and Fractals, Vol. 23, No. 5, 01.03.2005, p. 1795-1807.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Codon and amino-acid distribution in DNA
AU - Kim, J. K.
AU - Yang, S. I.
AU - Kwon, Y. H.
AU - Lee, Eun Il
PY - 2005/3/1
Y1 - 2005/3/1
N2 - According to the Zipf's law, the distribution of rank-ordered frequency of words in the natural language can be modelled on the power law. In this paper, we examine the frequency distribution of 64 codons over the coding and non-coding regions of 88 DNA from EMBL and GenBank database, using exponential fitting. Also, we regard 20 amino-acids as vocabulary, perform the same frequency analysis to the same database and show that amino-acids can be used as biological meaningful words for Zipf's approach. Our analysis suggests that a natural language structure may exist not only in the coding region of DNA but in the non-coding one of DNA.
AB - According to the Zipf's law, the distribution of rank-ordered frequency of words in the natural language can be modelled on the power law. In this paper, we examine the frequency distribution of 64 codons over the coding and non-coding regions of 88 DNA from EMBL and GenBank database, using exponential fitting. Also, we regard 20 amino-acids as vocabulary, perform the same frequency analysis to the same database and show that amino-acids can be used as biological meaningful words for Zipf's approach. Our analysis suggests that a natural language structure may exist not only in the coding region of DNA but in the non-coding one of DNA.
UR - http://www.scopus.com/inward/record.url?scp=9544250390&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=9544250390&partnerID=8YFLogxK
U2 - 10.1016/j.chaos.2004.07.027
DO - 10.1016/j.chaos.2004.07.027
M3 - Article
AN - SCOPUS:9544250390
VL - 23
SP - 1795
EP - 1807
JO - Chaos, Solitons and Fractals
JF - Chaos, Solitons and Fractals
SN - 0960-0779
IS - 5
ER -