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

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

Abstract 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 wi...

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Bibliographic Details
Main Authors: Shuquan Su, Zhongran Ni, Tian Lan, Pengyao Ping, Jinling Tang, Zuguo Yu, Gyorgy Hutvagner, Jinyan Li
Format: Article
Language:English
Published: Nature Portfolio 2025-04-01
Series:Scientific Reports
Subjects:
Virus host codon fitness
Codon usage biases
Machine learning
Virus evolution
Online Access:https://doi.org/10.1038/s41598-025-91469-z
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https://doi.org/10.1038/s41598-025-91469-z

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