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Journal Abstract Search

138 related items for PubMed ID: 29844977

  • 1. On the efficiency of the genetic code after frameshift mutations.
    Geyer R, Madany Mamlouk A.
    PeerJ; 2018; 6():e4825. PubMed ID: 29844977
    [Abstract] [Full Text] [Related]

  • 2. Optimization of the standard genetic code in terms of two mutation types: Point mutations and frameshifts.
    Wnętrzak M, Błażej P, Mackiewicz P.
    Biosystems; 2019 Jul; 181():44-50. PubMed ID: 31042561
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  • 3. Optimality of circular codes versus the genetic code after frameshift errors.
    Dila G, Michel CJ, Thompson JD.
    Biosystems; 2020 Jul; 195():104134. PubMed ID: 32251681
    [Abstract] [Full Text] [Related]

  • 4. On the Origin of Frameshift-Robustness of the Standard Genetic Code.
    Xu H, Zhang J.
    Mol Biol Evol; 2021 Sep 27; 38(10):4301-4309. PubMed ID: 34043802
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  • 6. Many alternative and theoretical genetic codes are more robust to amino acid replacements than the standard genetic code.
    Błażej P, Wnętrzak M, Mackiewicz D, Gagat P, Mackiewicz P.
    J Theor Biol; 2019 Mar 07; 464():21-32. PubMed ID: 30579955
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  • 7. Frameshift and wild-type proteins are often highly similar because the genetic code and genomes were optimized for frameshift tolerance.
    Wang X, Dong Q, Chen G, Zhang J, Liu Y, Cai Y.
    BMC Genomics; 2022 Jun 02; 23(1):416. PubMed ID: 35655139
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  • 8. Basic principles of the genetic code extension.
    Błażej P, Wnetrzak M, Mackiewicz D, Mackiewicz P.
    R Soc Open Sci; 2020 Feb 02; 7(2):191384. PubMed ID: 32257313
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  • 10. A multiobjective approach to the genetic code adaptability problem.
    de Oliveira LL, de Oliveira PS, Tinós R.
    BMC Bioinformatics; 2015 Feb 19; 16():52. PubMed ID: 25879480
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  • 11. Is the Genetic Code Optimized for Resource Conservation?
    Xu H, Zhang J.
    Mol Biol Evol; 2021 Oct 27; 38(11):5122-5126. PubMed ID: 34383940
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  • 14. Mathematical fundamentals for the noise immunity of the genetic code.
    Fimmel E, Strüngmann L.
    Biosystems; 2018 Feb 27; 164():186-198. PubMed ID: 28918301
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  • 15. Optimality in the standard genetic code is robust with respect to comparison code sets.
    Wichmann S, Ardern Z.
    Biosystems; 2019 Nov 27; 185():104023. PubMed ID: 31520875
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  • 18. The role of crossover operator in evolutionary-based approach to the problem of genetic code optimization.
    Błażej P, Wnȩtrzak M, Mackiewicz P.
    Biosystems; 2016 Dec 27; 150():61-72. PubMed ID: 27555085
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