Literature DB >> 10636025

The evolution of cellular computing: nature's solution to a computational problem.

L F Landweber1, L Kari.   

Abstract

How do cells and nature 'compute'? They read and 'rewrite' DNA all the time, by processes that modify sequences at the DNA or RNA level. In 1994, Adleman's elegant solution to a seven-city directed Hamiltonian path problem using DNA launched the new field of DNA computing, which in a few years has grown to international scope. However, unknown to this field, two ciliated protozoans of the genus Oxytricha had solved a potentially harder problem using DNA several million years earlier. The solution to this problem, which occurs during the process of gene unscrambling, represents one of nature's ingenious solutions to the problem of the creation of genes. RNA editing, which can also be viewed as a computational process, offers a second algorithm for the construction of functional genes from encrypted pieces of the genome.

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Year:  1999        PMID: 10636025     DOI: 10.1016/s0303-2647(99)00027-1

Source DB:  PubMed          Journal:  Biosystems        ISSN: 0303-2647            Impact factor:   1.973


  3 in total

1.  Protein-DNA computation by stochastic assembly cascade.

Authors:  Roy Bar-Ziv; Tsvi Tlusty; Albert Libchaber
Journal:  Proc Natl Acad Sci U S A       Date:  2002-08-19       Impact factor: 11.205

2.  Evolution and assembly of an extremely scrambled gene.

Authors:  L F Landweber; T C Kuo; E A Curtis
Journal:  Proc Natl Acad Sci U S A       Date:  2000-03-28       Impact factor: 11.205

Review 3.  The biological microprocessor, or how to build a computer with biological parts.

Authors:  Gerd Hg Moe-Behrens
Journal:  Comput Struct Biotechnol J       Date:  2013-06-26       Impact factor: 7.271

  3 in total

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