Computational and Systems Biology Advances to Enable Bioagent-Agnostic Signatures

Fuente: arXiv
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Autores principales: Lin, Andy, Torres, Cameron, Hobbs, Errett C., Bardhan, Jaydeep, Aley, Stephen B., Spencer, Charles T., Taylor, Karen L., Chiang, Tony
Formato: Preprint
Publicado: 2023
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_version_ 1866929258552623104
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
contents 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 Preprint
id arxiv_https___arxiv_org_abs_2310_13898
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle 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
Other Quantitative Biology
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.
title Computational and Systems Biology Advances to Enable Bioagent-Agnostic Signatures
topic Other Quantitative Biology
url https://arxiv.org/abs/2310.13898