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CodonGenie: optimised ambiguous codon design tools

delete2017-07-10
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OA
AI
N
Neil Swainston *
A
Andrew Currin
L
Lucy Green
R
Rainer Breitling
P
Philip J. Day
D
Douglas B. Kell
DOI:10.7717/peerj-cs.120delete
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摘要

摘要

En 中文
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.
Keyword:
Directed evolution
Codon
Protein engineering
Industrial biotechnology
Mutagenesis
Enzyme engineering

期刊

PeerJ Computer Science 封面图
PeerJ Computer Science
IF:
2.5
论文数:
3.4K
被引数:
6.9K

机构

U
University of Manchester
学者数:
5.7W
论文数: 5.3W
被引数: 7.4W
引用论文

引用论文

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