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Machine learning for the identification of respiratory viral attachment machinery from sequences data
At the outset of an emergent viral respiratory pandemic, sequence data is among the first molecular information available. As viral attachment machinery is a key target for therapeutic and prophylactic interventions, rapid identification of viral “spike” proteins from sequence can significantly acce...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9980812/ https://www.ncbi.nlm.nih.gov/pubmed/36862685 http://dx.doi.org/10.1371/journal.pone.0281642 |