Uncovering the complexities of biological structures with network-based learning: An application in SARS-CoV-2

Network-based learning enables the identification of possible undiscovered interactions in biological systems. In this issue of Patterns, Du et al. show that applying these methods to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) reveals potential infection targets of the virus and po...

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Detalles Bibliográficos
Autores principales: Faghri, Faraz, Nalls, Mike A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8049469/
https://www.ncbi.nlm.nih.gov/pubmed/33880454
http://dx.doi.org/10.1016/j.patter.2021.100259
Descripción
Sumario:Network-based learning enables the identification of possible undiscovered interactions in biological systems. In this issue of Patterns, Du et al. show that applying these methods to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) reveals potential infection targets of the virus and possible interactions between SARS-CoV-2 proteins and human proteins.

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