Codon and Codon-Pair Usage Tables (CoCoPUTs): Facilitating Genetic Variation Analyses and Recombinant Gene Design.
GenBank
codon context
codon-pair bias
dinucleotide frequency
gene optimization/deoptimization
Journal
Journal of molecular biology
ISSN: 1089-8638
Titre abrégé: J Mol Biol
Pays: Netherlands
ID NLM: 2985088R
Informations de publication
Date de publication:
14 06 2019
14 06 2019
Historique:
received:
01
02
2019
revised:
10
04
2019
accepted:
15
04
2019
pubmed:
29
4
2019
medline:
6
6
2020
entrez:
29
4
2019
Statut:
ppublish
Résumé
Usage of sequential codon-pairs is non-random and unique to each species. Codon-pair bias is related to but clearly distinct from individual codon usage bias. Codon-pair bias is thought to affect translational fidelity and efficiency and is presumed to be under the selective pressure. It was suggested that changes in codon-pair utilization may affect human disease more significantly than changes in single codons. Although recombinant gene technologies often take codon-pair usage bias into account, codon-pair usage data/tables are not readily available, thus potentially impeding research efforts. The present computational resource (https://hive.biochemistry.gwu.edu/review/codon2) systematically addresses this issue. Building on our recent HIVE-Codon Usage Tables, we constructed a new database to include genomic codon-pair and dinucleotide statistics of all organisms with sequenced genome, available in the GenBank. We believe that the growing understanding of the importance of codon-pair usage will make this resource an invaluable tool to many researchers in academia and pharmaceutical industry.
Identifiants
pubmed: 31029701
pii: S0022-2836(19)30228-1
doi: 10.1016/j.jmb.2019.04.021
pii:
doi:
Types de publication
Journal Article
Research Support, U.S. Gov't, Non-P.H.S.
Research Support, U.S. Gov't, P.H.S.
Langues
eng
Sous-ensembles de citation
IM
Pagination
2434-2441Informations de copyright
Published by Elsevier Ltd.