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The Systems Biology Markup Language (SBML) Level 3 Package: Qualitative Models, Version 1, Release 1
Journal of Integrative Bioinformatics
|November 4, 2015
Summary
This study introduces the Systems Biology Markup Language (SBML) Qualitative Models package, enabling direct encoding of qualitative biological network models. This facilitates modeling when detailed biochemical parameters are unknown, using gene expression data.
Area of Science:
- Systems Biology
- Computational Biology
- Bioinformatics
Background:
- Quantitative modeling of biological networks often requires extensive biochemical parameter data, which is frequently unavailable.
- Existing methods rely on qualitative approaches using functional genomic data, but lack standardized encoding in Systems Biology Markup Language (SBML).
Framework:
- The SBML Qualitative Models package extends SBML Level 3 to explicitly support qualitative modeling.
- This framework is based on regulatory or influence graphs, defining structures for discrete activity levels and state transitions.
Implementation:
- The package provides syntax for describing qualitative models, associating discrete activities with entity pools.
- It supports logical models (Boolean or multi-valued) and certain Petri net models.
Implications:
- Enables direct and explicit encoding of qualitative biological network models within the SBML standard.
- Facilitates systems biology research where quantitative data is limited, by leveraging gene expression and other functional genomic data.
- Expands the utility of SBML for diverse modeling paradigms, including logical and Petri net approaches.
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