4.7 Article

PyBioNetFit and the Biological Property Specification Language

期刊

ISCIENCE
卷 19, 期 -, 页码 1012-+

出版社

CELL PRESS
DOI: 10.1016/j.isci.2019.08.045

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资金

  1. National Institute of General Medical Sciences (NIGMS) of the National Institutes of Health (NIH) [R01GM111510]
  2. Joint Design of Advanced Computing Solutions for Cancer (JDACS4C) program
  3. Center for Nonlinear Studies at Los Alamos National Laboratory (LANL) [89233218CNA000001]
  4. NIGMS/NIH [R01GM123032]
  5. National Institute of Biomedical Imaging and Bioengineering (NIBIB) of NIH [P41EB023912]
  6. Computational Systems and Software Environment (CSSE) subprogram of the Advanced Simulation and Computing (ASC) program at LANL - NNSA/DOE
  7. NNSA/DOE
  8. Northern Arizona University's Monsoon computer cluster - Arizona's Technology and Research Initiative Fund

向作者/读者索取更多资源

In systems biology modeling, important steps include model parameterization, uncertainty quantification, and evaluation of agreement with experimental observations. To help modelers perform these steps, we developed the software PyBioNetFit, which in addition supports checking models against known system properties and solving design problems. PyBioNetFit introduces Biological Property Specification Language (BPSL) for the formal declaration of system properties. BPSL allows qualitative data to be used alone or in combination with quantitative data. PyBioNetFit performs parameterization with parallelized metaheuristic optimization algorithms that work directly with existing model definition standards: BioNetGen Language (BNGL) and Systems Biology Markup Language (SBML). We demonstrate PyBioNetFit's capabilities by solving various example problems, including the challenging problem of parameterizing a 153-parameter model of cell cycle control in yeast based on both quantitative and qualitative data. We demonstrate the model checking and design applications of PyBioNetFit and BPSL by analyzing a model of targeted drug interventions in autophagy signaling.

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