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Computational and Systems Biology Advances to Enable Bioagent-Agnostic Signatures
Enumerated threat agent lists have long driven biodefense priorities. The global SARS-CoV-2 pandemic demonstrated the limitations of searching for known threat agents as compared to a more agnostic approach. Recent technological advances are enabling agent-agnostic biodefense, especially through the...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cornell University
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10635321/ https://www.ncbi.nlm.nih.gov/pubmed/37961741 |
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author | Lin, Andy Torres, Cameron Hobbs, Errett C. Bardhan, Jaydeep Aley, Stephen B. Spencer, Charles T. Taylor, Karen L. Chiang, Tony |
author_facet | Lin, Andy Torres, Cameron Hobbs, Errett C. Bardhan, Jaydeep Aley, Stephen B. Spencer, Charles T. Taylor, Karen L. Chiang, Tony |
author_sort | Lin, Andy |
collection | PubMed |
description | Enumerated threat agent lists have long driven biodefense priorities. The global SARS-CoV-2 pandemic demonstrated the limitations of searching for known threat agents as compared to a more agnostic approach. Recent technological advances are enabling agent-agnostic biodefense, especially through the integration of multi-modal observations of host-pathogen interactions directed by a human immunological model. Although well-developed technical assays exist for many aspects of human-pathogen interaction, the analytic methods and pipelines to combine and holistically interpret the results of such assays are immature and require further investments to exploit new technologies. In this manuscript, we discuss potential immunologically based bioagent-agnostic approaches and the computational tool gaps the community should prioritize filling. |
format | Online Article Text |
id | pubmed-10635321 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cornell University |
record_format | MEDLINE/PubMed |
spelling | pubmed-106353212023-11-13 Computational and Systems Biology Advances to Enable Bioagent-Agnostic Signatures Lin, Andy Torres, Cameron Hobbs, Errett C. Bardhan, Jaydeep Aley, Stephen B. Spencer, Charles T. Taylor, Karen L. Chiang, Tony ArXiv Article Enumerated threat agent lists have long driven biodefense priorities. The global SARS-CoV-2 pandemic demonstrated the limitations of searching for known threat agents as compared to a more agnostic approach. Recent technological advances are enabling agent-agnostic biodefense, especially through the integration of multi-modal observations of host-pathogen interactions directed by a human immunological model. Although well-developed technical assays exist for many aspects of human-pathogen interaction, the analytic methods and pipelines to combine and holistically interpret the results of such assays are immature and require further investments to exploit new technologies. In this manuscript, we discuss potential immunologically based bioagent-agnostic approaches and the computational tool gaps the community should prioritize filling. Cornell University 2023-10-30 /pmc/articles/PMC10635321/ /pubmed/37961741 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use. |
spellingShingle | Article Lin, Andy Torres, Cameron Hobbs, Errett C. Bardhan, Jaydeep Aley, Stephen B. Spencer, Charles T. Taylor, Karen L. Chiang, Tony Computational and Systems Biology Advances to Enable Bioagent-Agnostic Signatures |
title | Computational and Systems Biology Advances to Enable Bioagent-Agnostic Signatures |
title_full | Computational and Systems Biology Advances to Enable Bioagent-Agnostic Signatures |
title_fullStr | Computational and Systems Biology Advances to Enable Bioagent-Agnostic Signatures |
title_full_unstemmed | Computational and Systems Biology Advances to Enable Bioagent-Agnostic Signatures |
title_short | Computational and Systems Biology Advances to Enable Bioagent-Agnostic Signatures |
title_sort | computational and systems biology advances to enable bioagent-agnostic signatures |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10635321/ https://www.ncbi.nlm.nih.gov/pubmed/37961741 |
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