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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
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 |
_version_ | 1783679430408798208 |
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author | Faghri, Faraz Nalls, Mike A. |
author_facet | Faghri, Faraz Nalls, Mike A. |
author_sort | Faghri, Faraz |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8049469 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-80494692021-04-16 Uncovering the complexities of biological structures with network-based learning: An application in SARS-CoV-2 Faghri, Faraz Nalls, Mike A. Patterns (N Y) Preview 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. Elsevier 2021-04-15 /pmc/articles/PMC8049469/ /pubmed/33880454 http://dx.doi.org/10.1016/j.patter.2021.100259 Text en © 2021 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Preview Faghri, Faraz Nalls, Mike A. Uncovering the complexities of biological structures with network-based learning: An application in SARS-CoV-2 |
title | Uncovering the complexities of biological structures with network-based learning: An application in SARS-CoV-2 |
title_full | Uncovering the complexities of biological structures with network-based learning: An application in SARS-CoV-2 |
title_fullStr | Uncovering the complexities of biological structures with network-based learning: An application in SARS-CoV-2 |
title_full_unstemmed | Uncovering the complexities of biological structures with network-based learning: An application in SARS-CoV-2 |
title_short | Uncovering the complexities of biological structures with network-based learning: An application in SARS-CoV-2 |
title_sort | uncovering the complexities of biological structures with network-based learning: an application in sars-cov-2 |
topic | Preview |
url | 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 |
work_keys_str_mv | AT faghrifaraz uncoveringthecomplexitiesofbiologicalstructureswithnetworkbasedlearninganapplicationinsarscov2 AT nallsmikea uncoveringthecomplexitiesofbiologicalstructureswithnetworkbasedlearninganapplicationinsarscov2 |