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- W2162554916 abstract "The entropies of protein genes froin E. Coli were calculated according to Bolhmann's formula. Entropies of the coding regions were compared to the entropies of noncoding or miscoding ones using first nucleotides, and then triplets of nucleotides as coding units. Biologically functional proteins had significantly higher entropies than proteins translated from the frameshifted sequences, while with triplets of nucleotides as code units, the results were opposite. We attempt to explain this paradox with the hypothesis that the Results: The entropies of protein coding genes have been calculated, compared and related to the infomation content and biological significance. The analysis initially covered the total of 42,353 base pairs organized in 20 sequences of protein coding genes from E. coli and together they represented approximately 1% of its genome. The average entropy of a complete gene expressed in binary units with nucleotide as a code unit was 1.99225 bits per nucleotide, only slightly different from the entropy.of only the coding region. With triplets as code units, the entropies of biologically functional sequences were compared to the entropies of frameshifted sequences. The sequences containing biological information had a lower entropy than the frameshifted sequences which lack that information. Observed were average differences of 0.21474 bits and 0.28872 bits between entropy of the reading frame and frameshifts +I and -1, respectively. The analogous analysis with amino acids as code units gave opposite results: protein sequences which are biologically functional have shown higher entropies than protein sequences which are products of the frameshift and hence lack any biological function. Conclusion: Results of this analysis support the idea that entropy calculated could be used as an indicator for the functional information contained in DNA. The entropies of correct and reading frames using triplets as coding units were significantly lower thaa those of frameshifted units. This reflects the expectation that sequences containing a definite biological information should have a lower entropy than those which lack any that information. However, biologically functional proteins that originate from the correct reading frame showed significantly higher entropies than sequences unable to yield functional proteins. We assume that the genetic code may have the ability OC increasing entropy of proteins while translating them from the DNA sequence. This ability might be beneficial to orgai~isms'~ because it would make the functionaI proteins more probable (having a higher entropy) than nonfunctional ones produced by frameshifted translation (mutation) of the genetic information. References:" @default.
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- W2162554916 date "2005-08-25" @default.
- W2162554916 modified "2023-09-26" @default.
- W2162554916 title "The use of entropy to characterize coding genes for translation of proteins from DNA" @default.
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- W2162554916 doi "https://doi.org/10.1109/iembs.1993.979248" @default.
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