Literature DB >> 2379019

The cellular computer DNA: program or data.

H Atlan1, M Koppel.   

Abstract

The classical metaphor of the genetic program written in the DNA nucleotidic sequences is reconsidered. Recent works on algorithmic complexity and logical properties of computer programs and data are used to question the explanatory value of that metaphor. Structural properties of strings are looked for which would be necessary to apply to DNA sequences if the metaphor is to be taken literally. The notion of sophistication is used to quantify meaningful complexity and to distinguish it from classical computational complexity. In this context, the distinction between program and data becomes relevant and an alternative metaphor of DNA as data to a parallel computing network embedded in the global geometrical and biochemical structure of the cell is discussed. An intermediate picture of an evolving network emerges as the most likely where the output of the cellular computing network can produce, at a different time scale, changes in the structure of the network itself by means of changes in the DNA activity patterns.

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Year:  1990        PMID: 2379019     DOI: 10.1007/bf02458575

Source DB:  PubMed          Journal:  Bull Math Biol        ISSN: 0092-8240            Impact factor:   1.758


  10 in total

1.  Biological frontiers.

Authors:  F R Blattner
Journal:  Science       Date:  1983-11-18       Impact factor: 47.728

2.  Transfer RNAs: the second genetic code.

Authors:  C de Duve
Journal:  Nature       Date:  1988-05-12       Impact factor: 49.962

3.  Boolean formalization of genetic control circuits.

Authors:  R Thomas
Journal:  J Theor Biol       Date:  1973-12       Impact factor: 2.691

4.  What are the causes of morphogenesis?

Authors:  B C Goodwin
Journal:  Bioessays       Date:  1985-07       Impact factor: 4.345

5.  Metabolic stability and epigenesis in randomly constructed genetic nets.

Authors:  S A Kauffman
Journal:  J Theor Biol       Date:  1969-03       Impact factor: 2.691

6.  The molecular basis of development.

Authors:  W J Gehring
Journal:  Sci Am       Date:  1985-10       Impact factor: 2.142

7.  Automated high-speed DNA sequencing.

Authors:  A Wada
Journal:  Nature       Date:  1987 Feb 26-Mar 4       Impact factor: 49.962

Review 8.  The inheritance of epigenetic defects.

Authors:  R Holliday
Journal:  Science       Date:  1987-10-09       Impact factor: 47.728

9.  A simple structural feature is a major determinant of the identity of a transfer RNA.

Authors:  Y M Hou; P Schimmel
Journal:  Nature       Date:  1988-05-12       Impact factor: 49.962

10.  Probabilistic automata as a model for epigenesis of cellular networks.

Authors:  M Milgram; H Atlan
Journal:  J Theor Biol       Date:  1983-08-21       Impact factor: 2.691

  10 in total
  2 in total

1.  Differential and integral views of genetics in computational systems biology.

Authors:  Denis Noble
Journal:  Interface Focus       Date:  2010-11-17       Impact factor: 3.906

Review 2.  Biophysics and systems biology.

Authors:  Denis Noble
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2010-03-13       Impact factor: 4.226

  2 in total

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