A Modified Penna Model for Biological Aging

Gi Ok Kim; Sugie  Shim

doi:10.4028/www.scientific.net/KEM.277-279.130

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HomeKey Engineering MaterialsKey Engineering Materials Vols. 277-279A Modified Penna Model for Biological Aging

A Modified Penna Model for Biological Aging

Abstract:

The Penna model for biological aging was modified. The reproducibility of each individual was determined according to the number of mutations relevant at that time. The results of Monte-Carlo calculations using the modified model show that the ranges of the reproducible age are broadened as time goes by, thus showing self-organization in biological aging to the direction of maximum self-conservation. In addition, the population, survival rate, and average life span were calculated and analyzed by changing the number of new mutations at birth. It is observed that the more the number of new mutations at birth is considered, the shorter the average life span that is obtained.

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Key Engineering Materials (Volumes 277-279)

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130-136

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https://doi.org/10.4028/www.scientific.net/KEM.277-279.130

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Online since:

January 2005

Authors:

Gi Ok Kim, Sugie Shim

Keywords:

Biological Aging, Monte-Carlo Method (MC-Method), Penna Model, Population Dynamics

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References

[1] L. Partridge and N.H. Barton: Nature Vol. 362 (1993), p.305.

Google Scholar

[2] T.S. Ray: J. Stat. Phys. Vol. 74 (1994), p.929.

Google Scholar

[3] S. Vollmar and S. Dasgupta: J. Physique I Vol. 4 (1994), p.817.

Google Scholar

[4] T.J.P. Penna: J. Stat. Phys. Vol. 78 (1995), p.1629.

Google Scholar

[5] T.J.P. Penna and D. Stauffer: Int. J. Mod. Phys. C Vol. 6 (1995), p.233.

Google Scholar

[6] P.M.C. de Oliveira, S.M. de Oliveira, A.T. Bernardes and D. Stauffer: Lancet Vol. 352 (1998), p.911.

Google Scholar

[7] J.S.S. Martins and S.M. de Oliveira: Int. J. Mod. Phys. C Vol. 9 (1998), p.421.

Google Scholar

[8] A.O. Sousa, S.M. de Oliveira and D. Stauffer: Int. J. Mod. Phys. C Vol. 12 (2001), p.1477.

Google Scholar

[9] J.W. Curtsinger, H.H. Fukui, D.R. Townsend, and J.W. Vaupel: Science Vol. 258 (1992), p.461.

Google Scholar

[10] J.W. Vaupel, J.R. Carey, K. Christensen, T.E. Johnson, A.I. Yashin, N.V. Holm, I.A. Iachine, V. Kannisto, A.A. Khazaeli, P. Liego, V.D. Longo, Y. Zeng, K.G. Manton, and J.W. Curtsinger: Science Vol. 280 (1998), p.855.

DOI: 10.1126/science.280.5365.855

Google Scholar

[11] S.D. Pletcher and C. Neuhauser: Int. J. Mod. Phys. C Vol. 11 (2000), p.525.

Google Scholar

[12] Z-F Huang and D. Stauffer: Theory in Biosciences Vol. 120 (2001), p.21.

Google Scholar