A prediction of mutations in infectious viruses using artificial intelligence

A prediction of mutations in infectious viruses using artificial intelligence

Abstract Many subtypes of SARS-CoV-2 have emerged since its early stages, with mutations showing regional and racial differences. These mutations significantly affected the infectivity and severity of the virus. This study aimed to predict the mutations that occur during the evolution of SARS-CoV-2...

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Bibliographic Details
Main Authors: Won Jong Choi, Jongkeun Park, Do Young Seong, Dae Sun Chung, Dongwan Hong
Format: Article
Language:English
Published: BioMed Central 2024-10-01
Series:Genomics & Informatics
Subjects:
Machine learning
Deep learning
SARS-CoV-2
Clade
Mutation
Prediction
Online Access:https://doi.org/10.1186/s44342-024-00019-y
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https://doi.org/10.1186/s44342-024-00019-y

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