Some theoretical aspects of reprogramming the standard genetic code.
Reprogramming of the standard genetic code to include non-canonical amino acids (ncAAs) opens new prospects for medicine, industry, and biotechnology. There are several methods of code engineering, which allow us for storing new genetic information in DNA sequences and producing proteins with new pr...
| Published in: | Genetics Vol. 218; no. 1; pp. 1 - 13 |
|---|---|
| Main Authors: | , , , , |
| Format: | equations & formulas pictorial research tables/charts Journal Article |
| Published: |
Oxford University Press / USA
May2021
|
| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=151323077&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 151323077 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00166731 GNT jtl: Genetics issn: 00166731 maglogo: N pubinfo: dt: May2021 vid: 218 iid: 1 pid: 622 pub: Oxford University Press / USA artinfo: ui: 151323077 151323077 151323077 10.1093/genetics/iyab040 151323077 ppf: 1 ppct: 12 formats: tig: atl: Some theoretical aspects of reprogramming the standard genetic code. aug: au: Nowak, Kuba Błażej, Paweł Wnetrzak, Małgorzata Mackiewicz, Dorota Mackiewicz, Paweł affil: Faculty of Mathematics and Computer Science, University of Wrocław, ul. F. Joliot-Curie 15, 50-383 Wrocław, Poland sug: subj: Genetic Engineering Amino Acids Genes Human DNA Mutation Biotechnology ab: Reprogramming of the standard genetic code to include non-canonical amino acids (ncAAs) opens new prospects for medicine, industry, and biotechnology. There are several methods of code engineering, which allow us for storing new genetic information in DNA sequences and producing proteins with new properties. Here, we provided a theoretical background for the optimal genetic code expansion, which may find application in the experimental design of the genetic code. We assumed that the expanded genetic code includes both canonical and non-canonical information stored in 64 classical codons. What is more, the new coding system is robust to point mutations and minimizes the possibility of reversion from the new to old information. In order to find such codes, we applied graph theory to analyze the properties of optimal codon sets. We presented the formal procedure in finding the optimal codes with various number of vacant codons that could be assigned to new amino acids. Finally, we discussed the optimal number of the newly incorporated ncAAs and also the optimal size of codon groups that can be assigned to ncAAs. pubtype: Academic Journal doctype: equations & formulas pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|