Using machine learning to detect coronaviruses potentially infectious to humans

Abstract Establishing the host range for novel viruses remains a challenge. Here, we address the challenge of identifying non-human animal coronaviruses that may infect humans by creating an artificial neural network model that learns from spike protein sequences of alpha and beta coronaviruses and...

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Bibliographic Details
Main Authors: Georgina Gonzalez-Isunza, M. Zaki Jawaid, Pengyu Liu, Daniel L. Cox, Mariel Vazquez, Javier Arsuaga
Format: Article
Language:English
Published: Nature Portfolio 2023-06-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-35861-7