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Title: The information capacity of the genetic code: Is the natural code optimal? Author: Kuruoglu EE, Arndt PF. Journal: J Theor Biol; 2017 Apr 21; 419():227-237. PubMed ID: 28163008. 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.[Abstract] [Full Text] [Related] [New Search]