PeerJ Computer Science (Jul 2017)

CodonGenie: optimised ambiguous codon design tools

  • Neil Swainston,
  • Andrew Currin,
  • Lucy Green,
  • Rainer Breitling,
  • Philip J. Day,
  • Douglas B. Kell

DOI
https://doi.org/10.7717/peerj-cs.120
Journal volume & issue
Vol. 3
p. e120

Abstract

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CodonGenie, freely available from http://codon.synbiochem.co.uk, is a simple web application for designing ambiguous codons to support protein mutagenesis applications. Ambiguous codons are derived from specific heterogeneous nucleotide mixtures, which create sequence degeneracy when synthesised in a DNA library. In directed evolution studies, such codons are carefully selected to encode multiple amino acids. For example, the codon NTN, where the code N denotes a mixture of all four nucleotides, will encode a mixture of phenylalanine, leucine, isoleucine, methionine and valine. Given a user-defined target collection of amino acids matched to an intended host organism, CodonGenie designs and analyses all ambiguous codons that encode the required amino acids. The codons are ranked according to their efficiency in encoding the required amino acids while minimising the inclusion of additional amino acids and stop codons. Organism-specific codon usage is also considered.

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