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Using PyBioNetFit to leverage qualitative and quantitative data in biological model parameterization and uncertainty quantification.

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Title: Using PyBioNetFit to leverage qualitative and quantitative data in biological model parameterization and uncertainty quantification.
Authors: Miller EF; Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ, United States., Mallela A; Center for Nonlinear Studies, Los Alamos National Laboratory, Los Alamos, NM, United States.; Theoretical Biology and Biophysics Group, Theoretical Division, Los Alamos National Laboratory, Los Alamos, NM, United States., Neumann J; Department of Chemistry and Chemical Biology, Cornell University, Ithaca, NY, United States., Lin YT; Center for Nonlinear Studies, Los Alamos National Laboratory, Los Alamos, NM, United States.; Information Sciences Group, Computer, Computational and Statistical Sciences Division, Los Alamos National Laboratory, Los Alamos, NM, United States., Hlavacek WS; Center for Nonlinear Studies, Los Alamos National Laboratory, Los Alamos, NM, United States.; Theoretical Biology and Biophysics Group, Theoretical Division, Los Alamos National Laboratory, Los Alamos, NM, United States., Posner RG; Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ, United States.
Source: Frontiers in immunology [Front Immunol] 2026 Apr 29; Vol. 17, pp. 1663008. Date of Electronic Publication: 2026 Apr 29 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Research Foundation] Country of Publication: Switzerland NLM ID: 101560960 Publication Model: eCollection Cited Medium: Internet ISSN: 1664-3224 (Electronic) Linking ISSN: 16643224 NLM ISO Abbreviation: Front Immunol Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Using PyBioNetFit to leverage qualitative and quantitative data in biological model parameterization and uncertainty quantification.
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  Data: <searchLink fieldCode="AU" term="%22Miller+EF%22">Miller EF</searchLink>; Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ, United States.<br /><searchLink fieldCode="AU" term="%22Mallela+A%22">Mallela A</searchLink>; Center for Nonlinear Studies, Los Alamos National Laboratory, Los Alamos, NM, United States.; Theoretical Biology and Biophysics Group, Theoretical Division, Los Alamos National Laboratory, Los Alamos, NM, United States.<br /><searchLink fieldCode="AU" term="%22Neumann+J%22">Neumann J</searchLink>; Department of Chemistry and Chemical Biology, Cornell University, Ithaca, NY, United States.<br /><searchLink fieldCode="AU" term="%22Lin+YT%22">Lin YT</searchLink>; Center for Nonlinear Studies, Los Alamos National Laboratory, Los Alamos, NM, United States.; Information Sciences Group, Computer, Computational and Statistical Sciences Division, Los Alamos National Laboratory, Los Alamos, NM, United States.<br /><searchLink fieldCode="AU" term="%22Hlavacek+WS%22">Hlavacek WS</searchLink>; Center for Nonlinear Studies, Los Alamos National Laboratory, Los Alamos, NM, United States.; Theoretical Biology and Biophysics Group, Theoretical Division, Los Alamos National Laboratory, Los Alamos, NM, United States.<br /><searchLink fieldCode="AU" term="%22Posner+RG%22">Posner RG</searchLink>; Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ, United States.
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        Value: 10.3389/fimmu.2026.1663008
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