Literature DB >> 12860467

A cellular automaton model for the study of DNA sequence evolution.

G Ch Sirakoulis1, I Karafyllidis, Ch Mizas, V Mardiris, A Thanailakis, Ph Tsalides.   

Abstract

Cellular automata are introduced as a model for DNA structure, function and evolution. DNA is modeled as a one-dimensional cellular automaton with four states per cell. These states are the four DNA bases A, C, T and G. The four states are represented by numbers of the quaternary number system. Linear evolution rules, represented by square matrices, are considered. Based on this model a simulator of DNA evolution is developed and simulation results are presented. This simulator has a user-friendly input interface and can be used for the study of DNA evolution.

Mesh:

Year:  2003        PMID: 12860467     DOI: 10.1016/s0010-4825(03)00017-9

Source DB:  PubMed          Journal:  Comput Biol Med        ISSN: 0010-4825            Impact factor:   4.589


  2 in total

1.  Computational Modeling of Proteins based on Cellular Automata: A Method of HP Folding Approximation.

Authors:  Alia Madain; Abdel Latif Abu Dalhoum; Azzam Sleit
Journal:  Protein J       Date:  2018-06       Impact factor: 2.371

2.  Cladograms with Path to Event (ClaPTE): a novel algorithm to detect associations between genotypes or phenotypes using phylogenies.

Authors:  Samuel K Handelman; Jacob M Aaronson; Michal Seweryn; Igor Voronkin; Jesse J Kwiek; Wolfgang Sadee; Joseph S Verducci; Daniel A Janies
Journal:  Comput Biol Med       Date:  2014-12-24       Impact factor: 4.589

  2 in total

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