How to ‘find’ an error minimized genetic code: neutral emergence as an alternative to direct Darwinian selection for evolutionary optimization
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications
Link
http://link.springer.com/article/10.1007/s11047-017-9669-3/fulltext.html
Reference72 articles.
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3. Bergthorsson U, Andersson DI, Roth JR (2007) Ohno’s dilemma: evolution of new genes under continuous selection. Proc Natl Acad Sci USA 104:17004–17009
4. Bilgin T, Kurnaz IA, Wagner A (2013) Selection shapes the robustness of ligand-binding amino acids. J Mol Evol 76:343–349
5. Bornberg-Bauer E, Chan HS (1999) Modelling evolutionary landscapes: mutational stability, topology and superfunnels in sequence space. Proc Natl Acad Sci USA 96:10689–10694
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3. 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;2021-08-02
4. The Mutational Robustness of the Genetic Code and Codon Usage in Environmental Context: A Non-Extremophilic Preference?;Life;2021-07-30
5. Genetic Code Error Minimization as a Non-Adaptive But Beneficial Trait;Journal of Molecular Evolution;2019-01
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