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Predicting viral host codon fitness and path shifting through tree-based learning on codon usage bia...

Predicting viral host codon fitness and path shifting through tree-based learning on codon usage bia...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_334b3756539c417eb4de6ef810b6aaf3

Predicting viral host codon fitness and path shifting through tree-based learning on codon usage biases and genomic characteristics

About this item

Full title

Predicting viral host codon fitness and path shifting through tree-based learning on codon usage biases and genomic characteristics

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2025-04, Vol.15 (1), p.12251-14, Article 12251

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Viral codon fitness (VCF) of the host and the VCF shifting has seldom been studied under quantitative measurements, although they could be concepts vital to understand pathogen epidemiology. This study demonstrates that the relative synonymous codon usage (RSCU) of virus genomes together with other genomic properties are predictive of virus host co...

Alternative Titles

Full title

Predicting viral host codon fitness and path shifting through tree-based learning on codon usage biases and genomic characteristics

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_334b3756539c417eb4de6ef810b6aaf3

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_334b3756539c417eb4de6ef810b6aaf3

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-025-91469-z

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