Scaling properties of coding and non-coding DNA sequences

A. Provata and Y. Almirantis

Physica A: Statistical Mechanics and its Applications, 1997, vol. 247, issue 1, 482-496

Abstract: We study the size distribution of purine and pyrimidine clusters in coding and non-coding DNA sequences. We observe that the cluster-size distribution P(s) follows an exponential decay in coding sequences whereas it follows a power-law decay in non-coding sequences: P(s) ∼ s−1−μ, with a power exponent μ = 1.5–1.8. The mean-square displacement σ2(m) is examined via a cluster walk model, with step-size distribution following P(s) and with m denoting the number of clusters covered by the walker. The behaviour of the mean-square displacement is σ2(m) ∼ m2/μ for non-coding sequences and σ2(m) ∼ m for coding sequences. We associate the power-law behaviour in the non-coding with the tendency of large Pu and Py cluster formation which dominate the non-coding. Under this observation the entire DNA sequence may be regarded as a collection of extended non-coding regions interrupted by small coding regions. We recall that this irregular composition of DNA, is of vital importance for the living organisms: Transposable elements and other “parasite” DNA which try to incorporate themselves into the DNA chain most probably intersect the large non-coding regions, thus leaving the organism unaffected, as is well known to biologists.

Keywords: Power law; Long-range correlations; Exponential decay; Coding/non-coding DNA sequences; Random walks (search for similar items in EconPapers)
Date: 1997
References: View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:247:y:1997:i:1:p:482-496

DOI: 10.1016/S0378-4371(97)00424-X

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