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Bugs in the system
Immunity to respiratory virus infection is governed by complex biological networks that influence disease progression and pathogenesis. Systems biology provides an opportunity to explore and understand these multifaceted interactions based on integration and modeling of multiple biological parameter...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3748621/ https://www.ncbi.nlm.nih.gov/pubmed/23947361 http://dx.doi.org/10.1111/imr.12092 |
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author | Menachery, Vineet D. Baric, Ralph S. |
author_facet | Menachery, Vineet D. Baric, Ralph S. |
author_sort | Menachery, Vineet D. |
collection | PubMed |
description | Immunity to respiratory virus infection is governed by complex biological networks that influence disease progression and pathogenesis. Systems biology provides an opportunity to explore and understand these multifaceted interactions based on integration and modeling of multiple biological parameters. In this review, we describe new and refined systems‐based approaches used to model, identify, and validate novel targets within complex networks following influenza and coronavirus infection. In addition, we propose avenues for extension and expansion that can revolutionize our understanding of infectious disease processes. Together, we hope to provide a window into the unique and expansive opportunity presented by systems biology to understand complex disease processes within the context of infectious diseases. |
format | Online Article Text |
id | pubmed-3748621 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-37486212014-09-01 Bugs in the system Menachery, Vineet D. Baric, Ralph S. Immunol Rev Invited Reviews Immunity to respiratory virus infection is governed by complex biological networks that influence disease progression and pathogenesis. Systems biology provides an opportunity to explore and understand these multifaceted interactions based on integration and modeling of multiple biological parameters. In this review, we describe new and refined systems‐based approaches used to model, identify, and validate novel targets within complex networks following influenza and coronavirus infection. In addition, we propose avenues for extension and expansion that can revolutionize our understanding of infectious disease processes. Together, we hope to provide a window into the unique and expansive opportunity presented by systems biology to understand complex disease processes within the context of infectious diseases. John Wiley and Sons Inc. 2013-08-15 2013-09 /pmc/articles/PMC3748621/ /pubmed/23947361 http://dx.doi.org/10.1111/imr.12092 Text en © 2013 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd This article is being made freely available through PubMed Central as part of the COVID-19 public health emergency response. It can be used for unrestricted research re-use and analysis in any form or by any means with acknowledgement of the original source, for the duration of the public health emergency. |
spellingShingle | Invited Reviews Menachery, Vineet D. Baric, Ralph S. Bugs in the system |
title | Bugs in the system |
title_full | Bugs in the system |
title_fullStr | Bugs in the system |
title_full_unstemmed | Bugs in the system |
title_short | Bugs in the system |
title_sort | bugs in the system |
topic | Invited Reviews |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3748621/ https://www.ncbi.nlm.nih.gov/pubmed/23947361 http://dx.doi.org/10.1111/imr.12092 |
work_keys_str_mv | AT menacheryvineetd bugsinthesystem AT baricralphs bugsinthesystem |