| Literature DB >> 31029701 |
Aikaterini Alexaki1, Jacob Kames1, David D Holcomb1, John Athey1, Luis V Santana-Quintero2, Phuc Vihn Nguyen Lam2, Nobuko Hamasaki-Katagiri1, Ekaterina Osipova2, Vahan Simonyan2, Haim Bar3, Anton A Komar4, Chava Kimchi-Sarfaty5.
Abstract
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. Published by Elsevier Ltd.Entities:
Keywords: GenBank; codon context; codon-pair bias; dinucleotide frequency; gene optimization/deoptimization
Year: 2019 PMID: 31029701 DOI: 10.1016/j.jmb.2019.04.021
Source DB: PubMed Journal: J Mol Biol ISSN: 0022-2836 Impact factor: 5.469