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1
On the Origin of Frameshift-Robustness of the Standard Genetic Code.
Mol Biol Evol. 2021 Sep 27;38(10):4301-4309. doi: 10.1093/molbev/msab164.
2
Optimality of circular codes versus the genetic code after frameshift errors.
Biosystems. 2020 Jul;195:104134. doi: 10.1016/j.biosystems.2020.104134. Epub 2020 Apr 4.
3
Optimization of the standard genetic code in terms of two mutation types: Point mutations and frameshifts.
Biosystems. 2019 Jul;181:44-50. doi: 10.1016/j.biosystems.2019.04.012. Epub 2019 Apr 28.
6
The optimality of the standard genetic code assessed by an eight-objective evolutionary algorithm.
BMC Evol Biol. 2018 Dec 13;18(1):192. doi: 10.1186/s12862-018-1304-0.
7
On the efficiency of the genetic code after frameshift mutations.
PeerJ. 2018 May 21;6:e4825. doi: 10.7717/peerj.4825. eCollection 2018.
8
Many alternative and theoretical genetic codes are more robust to amino acid replacements than the standard genetic code.
J Theor Biol. 2019 Mar 7;464:21-32. doi: 10.1016/j.jtbi.2018.12.030. Epub 2018 Dec 21.
9
Optimization of the standard genetic code according to three codon positions using an evolutionary algorithm.
PLoS One. 2018 Aug 9;13(8):e0201715. doi: 10.1371/journal.pone.0201715. eCollection 2018.
10
The neutral emergence of error minimized genetic codes superior to the standard genetic code.
J Theor Biol. 2016 Nov 7;408:237-242. doi: 10.1016/j.jtbi.2016.08.022. Epub 2016 Aug 17.

引用本文的文献

1
Alternative Reading Frames are an Underappreciated Source of Protein Sequence Novelty.
J Mol Evol. 2023 Oct;91(5):570-580. doi: 10.1007/s00239-023-10122-3. Epub 2023 Jun 16.
2
Biological factors in the synthetic construction of overlapping genes.
BMC Genomics. 2021 Dec 11;22(1):888. doi: 10.1186/s12864-021-08181-1.
3
Is the Genetic Code Optimized for Resource Conservation?
Mol Biol Evol. 2021 Oct 27;38(11):5122-5126. doi: 10.1093/molbev/msab239.
4
Little Evidence the Standard Genetic Code Is Optimized for Resource Conservation.
Mol Biol Evol. 2021 Oct 27;38(11):5127-5133. doi: 10.1093/molbev/msab236.

本文引用的文献

2
Frameshifting preserves key physicochemical properties of proteins.
Proc Natl Acad Sci U S A. 2020 Mar 17;117(11):5907-5912. doi: 10.1073/pnas.1911203117. Epub 2020 Mar 3.
4
Optimization of the standard genetic code in terms of two mutation types: Point mutations and frameshifts.
Biosystems. 2019 Jul;181:44-50. doi: 10.1016/j.biosystems.2019.04.012. Epub 2019 Apr 28.
5
Many alternative and theoretical genetic codes are more robust to amino acid replacements than the standard genetic code.
J Theor Biol. 2019 Mar 7;464:21-32. doi: 10.1016/j.jtbi.2018.12.030. Epub 2018 Dec 21.
6
The optimality of the standard genetic code assessed by an eight-objective evolutionary algorithm.
BMC Evol Biol. 2018 Dec 13;18(1):192. doi: 10.1186/s12862-018-1304-0.
7
Optimization of the standard genetic code according to three codon positions using an evolutionary algorithm.
PLoS One. 2018 Aug 9;13(8):e0201715. doi: 10.1371/journal.pone.0201715. eCollection 2018.
8
On the efficiency of the genetic code after frameshift mutations.
PeerJ. 2018 May 21;6:e4825. doi: 10.7717/peerj.4825. eCollection 2018.
10
Origin and Evolution of the Universal Genetic Code.
Annu Rev Genet. 2017 Nov 27;51:45-62. doi: 10.1146/annurev-genet-120116-024713. Epub 2017 Aug 30.

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