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MutaGAN: A sequence-to-sequence GAN framework to predict mutations of evolving protein populations

The ability to predict the evolution of a pathogen would significantly improve the ability to control, prevent, and treat disease. Machine learning, however, is yet to be used to predict the evolutionary progeny of a virus. To address this gap, we developed a novel machine learning framework, named...

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Detalles Bibliográficos
Autores principales: Berman, Daniel S, Howser, Craig, Mehoke, Thomas, Ernlund, Amanda W, Evans, Jared D
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10104372/
https://www.ncbi.nlm.nih.gov/pubmed/37066021
http://dx.doi.org/10.1093/ve/vead022