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  The information capacity of the genetic code: Is the natural code optimal?

Kuruoglu, E. E., & Arndt, P. F. (2017). The information capacity of the genetic code: Is the natural code optimal? Journal of Theoretical Biology, 419, 227-237. doi:10.1016/j.jtbi.2017.01.046.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0000-7D7E-8 Version Permalink: http://hdl.handle.net/21.11116/0000-0000-7D7F-7
Genre: Journal Article

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 Creators:
Kuruoglu, E. E.1, Author
Arndt, P. F.2, Author              
Affiliations:
1Institute of Information Science and Technologies, "A. Faedo", CNR, via G Moruzzi 1, 56124 Pisa, Italy, ou_persistent22              
2Evolutionary Genomics (Peter Arndt), Dept. of Computational Molecular Biology (Head: Martin Vingron), Max Planck Institute for Molecular Genetics, Max Planck Society, ou_1479638              

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Free keywords: Dna Genetic code Information capacity Information theory Shannon theory
 Abstract: We envision the molecular evolution process as an information transfer process and provide a quantitative measure for information preservation in terms of the channel capacity according to the channel coding theorem of Shannon. We calculate Information capacities of DNA on the nucleotide (for non-coding DNA) and the amino acid (for coding DNA) level using various substitution models. We extend our results on coding DNA to a discussion about the optimality of the natural codon-amino acid code. We provide the results of an adaptive search algorithm in the code domain and demonstrate the existence of a large number of genetic codes with higher information capacity. Our results support the hypothesis of an ancient extension from a 2-nucleotide codon to the current 3-nucleotide codon code to encode the various amino acids.

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Language(s): eng - English
 Dates: 2017-02-032017-04-21
 Publication Status: Published in print
 Pages: 11
 Publishing info: -
 Table of Contents: -
 Rev. Method: -
 Identifiers: DOI: 10.1016/j.jtbi.2017.01.046
ISSN: 1095-8541 (Electronic)0022-5193 (Print)
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Title: Journal of Theoretical Biology
  Abbreviation : J. Theor. Biol.
Source Genre: Journal
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Publ. Info: London : Elsevier
Pages: - Volume / Issue: 419 Sequence Number: - Start / End Page: 227 - 237 Identifier: Other: 0022-5193
Other: 1095-8541
CoNE: /journals/resource/954922646048