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Journal Abstract Search

375 related items for PubMed ID: 25879480

  • 1. 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
    [Abstract] [Full Text] [Related]

  • 2. Inclusion of the fitness sharing technique in an evolutionary algorithm to analyze the fitness landscape of the genetic code adaptability.
    Santos J, Monteagudo Á.
    BMC Bioinformatics; 2017 Mar 27; 18(1):195. PubMed ID: 28347270
    [Abstract] [Full Text] [Related]

  • 3. Evolution of the genetic code: partial optimization of a random code for robustness to translation error in a rugged fitness landscape.
    Novozhilov AS, Wolf YI, Koonin EV.
    Biol Direct; 2007 Oct 23; 2():24. PubMed ID: 17956616
    [Abstract] [Full Text] [Related]

  • 4. 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 23; 150():61-72. PubMed ID: 27555085
    [Abstract] [Full Text] [Related]

  • 5. Simulated evolution applied to study the genetic code optimality using a model of codon reassignments.
    Santos J, Monteagudo A.
    BMC Bioinformatics; 2011 Feb 21; 12():56. PubMed ID: 21338505
    [Abstract] [Full Text] [Related]

  • 6. Study of the genetic code adaptability by means of a genetic algorithm.
    Santos J, Monteagudo A.
    J Theor Biol; 2010 Jun 07; 264(3):854-65. PubMed ID: 20219479
    [Abstract] [Full Text] [Related]

  • 7. The genetic code: what is it good for? An analysis of the effects of selection pressures on genetic codes.
    Judson OP, Haydon D.
    J Mol Evol; 1999 Nov 07; 49(5):539-50. PubMed ID: 10552035
    [Abstract] [Full Text] [Related]

  • 8. The optimality of the standard genetic code assessed by an eight-objective evolutionary algorithm.
    Wnętrzak M, Błażej P, Mackiewicz D, Mackiewicz P.
    BMC Evol Biol; 2018 Dec 13; 18(1):192. PubMed ID: 30545289
    [Abstract] [Full Text] [Related]

  • 9. Optimization of the standard genetic code according to three codon positions using an evolutionary algorithm.
    Błażej P, Wnętrzak M, Mackiewicz D, Mackiewicz P.
    PLoS One; 2018 Dec 13; 13(8):e0201715. PubMed ID: 30092017
    [Abstract] [Full Text] [Related]

  • 10. Optimality in the standard genetic code is robust with respect to comparison code sets.
    Wichmann S, Ardern Z.
    Biosystems; 2019 Nov 13; 185():104023. PubMed ID: 31520875
    [Abstract] [Full Text] [Related]

  • 11. An alternative look at code evolution: using non-canonical codes to evaluate adaptive and historic models for the origin of the genetic code.
    Morgens DW, Cavalcanti AR.
    J Mol Evol; 2013 Feb 13; 76(1-2):71-80. PubMed ID: 23344715
    [Abstract] [Full Text] [Related]

  • 12. Local conditions for global stability in the space of codons of the genetic code.
    Salinas DG, Gallardo MO, Osorio MI.
    Biosystems; 2016 Dec 13; 150():73-77. PubMed ID: 27531459
    [Abstract] [Full Text] [Related]

  • 13. The genetic code is very close to a global optimum in a model of its origin taking into account both the partition energy of amino acids and their biosynthetic relationships.
    Caldararo F, Di Giulio M.
    Biosystems; 2022 Apr 13; 214():104613. PubMed ID: 35085754
    [Abstract] [Full Text] [Related]

  • 14. Optimality of the genetic code with respect to protein stability and amino-acid frequencies.
    Gilis D, Massar S, Cerf NJ, Rooman M.
    Genome Biol; 2001 Apr 13; 2(11):RESEARCH0049. PubMed ID: 11737948
    [Abstract] [Full Text] [Related]

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

  • 16. 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 21; 181():44-50. PubMed ID: 31042561
    [Abstract] [Full Text] [Related]

  • 17. Early fixation of an optimal genetic code.
    Freeland SJ, Knight RD, Landweber LF, Hurst LD.
    Mol Biol Evol; 2000 Apr 21; 17(4):511-8. PubMed ID: 10742043
    [Abstract] [Full Text] [Related]

  • 18. A neutral origin for error minimization in the genetic code.
    Massey SE.
    J Mol Evol; 2008 Nov 21; 67(5):510-6. PubMed ID: 18855039
    [Abstract] [Full Text] [Related]

  • 19. Exceptional error minimization in putative primordial genetic codes.
    Novozhilov AS, Koonin EV.
    Biol Direct; 2009 Nov 19; 4():44. PubMed ID: 19925661
    [Abstract] [Full Text] [Related]

  • 20. Some mathematical refinements concerning error minimization in the genetic code.
    Buhrman H, van der Gulik PT, Kelk SM, Koolen WM, Stougie L.
    IEEE/ACM Trans Comput Biol Bioinform; 2011 Nov 19; 8(5):1358-72. PubMed ID: 21358008
    [Abstract] [Full Text] [Related]

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