Information Weights of Nucleotides in DNA Sequences

• Autorzy: Dudek M. , Cebrat S. , Kowalczuk M. , Mackiewicz P. , Nowicka A. , Mackiewicz D. , Dudkiewicz M.
• Języki publikacji: EN

Abstrakty

EN

The protein sequence is coded with the help of the triplets of nucleotides, each corresponding to one amino acid in a protein sequence. The triplet code of the coding sequences possesses some informative redundancy. Some triplets are more probable than others. The analogous redundancies appear in all natural languages. The non-equal frequency of the characters in plain text makes possible that entire words can be predicted given the context of the plain text. This is typical problem in cryptanalysis that a plain text is compressed before encrypting it in order to reduce the language redundancies. The nucleotides represent the natural units to discuss the redundancies in the coding sequences of natural genomes. The mutation pressure and selection pressure are the main factors responsible for the observed redundancies. Then, the nucleotide frequency in DNA seems to be the natural information weight. We show, that the probability of a nucleotide to stay nonmutated becomes another, the more efficient information weight. It has smaller redundancy although it is correlated with the nucleotide frequency. We have found the values of probability for nucleotide to stay non-mutated in the particular case of the Borrellia burgdorferi genome. In order to examine the usefulness of the new frequencies we used them in a problem of bit-string packing in a channel with a given capacity. We performed a computer experiment, in which we have generated all possible oligomers consisting of k nucleotides and we have shown, that if the number of bits of the information carried out by the oligomers does not exceed a given threshold value, the same as calculated for genes of the Borrelia burgdorferi genome, then the distribution of the generated oligomers resembles the one used by these genes.

Słowa kluczowe

EN

protein sequence; Borrelia burgdorferi genome; oligomers; codon

• Wydawca: Institute of Bioorganic Chemistry Scientific Publishers OWN, Polish Academy of Sciences
• Czasopismo: Computational Methods in Science and Technology
• Rocznik: 2007
• Tom: Vol. 13, nr 1
• Strony: 5--12
• Opis fizyczny: Bibliogr. 25 poz.

Twórcy

autor

Dudek M.

autor

Cebrat S.

autor

Kowalczuk M.

autor

Mackiewicz P.

autor

Nowicka A.

autor

Mackiewicz D.

autor

Dudkiewicz M.

• Professor of University of Zielona Góra, physicist, specialized in methods of statistical physics, making research both in the field of physics (biased diffusion, phase transitions, sintering processes, percolation) and in life sciences (long range cor

Bibliografia

• [1] F. H. C. Crick, F. R. S. Leslie Barnett, S. Brenner and R. J. Watts-Tobin, Nature 192, 1227-1232 (1961).
• [2] B. Dujon, Trends Genet. 12, 263-270 (1996).
• [3] S. Cebrat and M. R. Dudek, Trends Genet. 12, 12 (1996).
• [4] B. Dujon and A. Goffeau, Trends Genet. 12, Poster (1996).
• [5] R. Román-Roldán, P. Bernaola-Galván and J. L. Oliver, Pattern Recogn. 29, 1187-1194 (1996).
• [6] H. P. Yockey, Computers and Chemistry 24, 105-123 (2000)
• [7] C. E. Shannon, Bell Syst. Tech. J. 27, 379-424, 623-656 (1948).
• [8] D. T. Jones, W. R. Taylor and J. M. Thornton, In CABIOS,8(3), 275-282 (1992).
• [9] S. Cebrat, M. R. Dudek, P. Mackiewicz, M. Kowalczuk and M. Fita, Microbial & Comparative Genomics 2(4) 259-268 (1997).
• [10] S. Cebrat and M. R. Dudek, Eur. Phys. J. B3, 271-276 (1998)
• [11] Diana Duplij and Steven Duplij, Biophys. Bull. No 497, 1-7 (2000), Visnyk Khark. Univ.
• [12] A. Marathe, A. E. Condon and R. M. Corn, J. Comp. Biol. 8,201-219 (2001).
• [13] M. Kowalczuk, P. Mackiewicz, D. Szczepanik, A. Nowicka,M. Dudkiewicz, M. R. Dudek and S. Cebrat, Int. J. Mod. Phys.C12, 1043-1053 (2001).
• [14] P. Mackiewicz, M. Kowalczuk, D. Mackiewicz, A. Nowicka,M. Dudkiewicz, A. Łaszkiewicz, M. R. Dudek and S. Cebrat,Physica A314, 646-654 (2002).
• [15] M. Kowalczuk, P. Mackiewicz, D. Mackiewicz, A. Nowicka,M. Dudkiewicz, M. R. Dudek and S. Cebrat, BMC Evolutionary Biology 1(1), 13 (2001).
• [16] M. Kimura, The Neutral Theory of Molecular Evolution, Cambridge University Press, Cambridge (1983).
• [17] A. Nowicka, P. Mackiewicz, M. Dudkiewicz, D. Mackiewicz,M. Kowalczuk, S. Cebrat and M. R. Dudek, in Computational Conference ICCS 2003, Melbourne and St. Petersburg, June 24,2003, P. M. A. Sloot et al. (Eds.): Lecture Notes in Computer Science 2658, 650-657 (2003), see also cond-mat/0301214.
• [18] M. F. Barnsley, Fractals Everywhere, Springer-Verlag. New York (1988).
• [19] H. J. Jeffrey, Nucleic Acids Res. 18, 2163-2170 (1990).
• [20] B.-L. Hao, H. C. Lee and S. Zhang, Chaos, Solitons, Fractals 11, 825-836 (2000).
• [21] A. Nowicka, M. R. Dudek, S. Cebrat, M. Kowalczuk, P. Mackiewicz,M. Dudkiewicz and D. Szczepanik CMST 6, 65-71 (2000).
• [22] S. V. Buldyrev, N. V. Dokholyan, S. Havlin, H. E. Stanley and R. H. R. Stanley, Physica A273, 19-32 (1999).
• [23] M. Kowalczuk, A. Gierlik, P. Mackiewicz, S. Cebrat and M. R. Dudek, Physica A273, 116-131 (1999).
• [24] R. N. Mantegna, S. V. Buldyrev, A. L. Goldberger, S. Havlin,C.-K. Peng, M. Simons and H. E. Stanley, Phys. Rev. Lett. 23 3169-3172 (1994).
• [25] N. Vandewalle, M. Ausloos, Physica A 268, 240-249 (1999).