التفاصيل البيبلوغرافية
| العنوان: |
CodonGenie: optimised ambiguous codon design tools |
| المؤلفون: |
Neil Swainston, Andrew Currin, Lucy Green, Rainer Breitling, Philip J. Day, Douglas B. Kell |
| المصدر: |
PeerJ Computer Science, Vol 3, p e120 (2017) |
| بيانات النشر: |
PeerJ Inc., 2017. |
| سنة النشر: |
2017 |
| المجموعة: |
LCC:Electronic computers. Computer science |
| مصطلحات موضوعية: |
Directed evolution, Codon, Protein engineering, Industrial biotechnology, Mutagenesis, Enzyme engineering, Electronic computers. Computer science, QA75.5-76.95 |
| الوصف: |
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. |
| نوع الوثيقة: |
article |
| وصف الملف: |
electronic resource |
| اللغة: |
English |
| تدمد: |
2376-5992 |
| Relation: |
https://peerj.com/articles/cs-120.pdf; https://peerj.com/articles/cs-120/; https://doaj.org/toc/2376-5992 |
| DOI: |
10.7717/peerj-cs.120 |
| URL الوصول: |
https://doaj.org/article/3f96b511f2b24658acc379ae710a1ca8 |
| رقم الانضمام: |
edsdoj.3f96b511f2b24658acc379ae710a1ca8 |
| قاعدة البيانات: |
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