Literature DB >> 24256181

Multiple amino acid-excluded genetic codes for protein engineering using multiple sets of tRNA variants.

Kazuaki Amikura1, Yoko Sakai, Shun Asami, Daisuke Kiga.   

Abstract

A "simplified genetic code", with only 19 amino acids assigned to the sense codons, was recently developed. In this study, we describe novel simplified codes in which multiple amino acids are simultaneously excluded from the universal code. In the simplest code, tryptophan, cysteine, tyrosine, and asparagine codons are assigned to serine by using four kinds of tRNA (Ser) variants. The results revealed that various sets of amino acids can easily be excluded from the universal code, using our strategy for genetic code simplification. A simplified genetic code is useful as an engineering tool for the improvement of industrial enzymes and pharmaceuticals, and also provides new insights into the assessment of protein evolution. Simplified codes in which multiple amino acids are simultaneously excluded from the code can be more effective tools than codes excluding only one amino acid.

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Year:  2013        PMID: 24256181     DOI: 10.1021/sb400144h

Source DB:  PubMed          Journal:  ACS Synth Biol        ISSN: 2161-5063            Impact factor:   5.110


  3 in total

1.  Efficient and Precise Protein Synthesis in a Cell-Free System Using a Set of In Vitro Transcribed tRNAs with Nucleotide Modifications.

Authors:  Kazuaki Amikura; Keita Hibi; Yoshihiro Shimizu
Journal:  Methods Mol Biol       Date:  2022

2.  Reconstruction of cysteine biosynthesis using engineered cysteine-free enzymes.

Authors:  Kosuke Fujishima; Kendrick M Wang; Jesse A Palmer; Nozomi Abe; Kenji Nakahigashi; Drew Endy; Lynn J Rothschild
Journal:  Sci Rep       Date:  2018-01-29       Impact factor: 4.379

3.  Horizontal transfer of code fragments between protocells can explain the origins of the genetic code without vertical descent.

Authors:  Tom Froese; Jorge I Campos; Kosuke Fujishima; Daisuke Kiga; Nathaniel Virgo
Journal:  Sci Rep       Date:  2018-02-23       Impact factor: 4.379

  3 in total

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