A basis for a visual language for describing, archiving and analyzing functional models of complex biological systems
Background:
We propose that a computerized, internet-based graphical description language for systems biology will be essential for describing, archiving and analyzing complex problems of biological function in health and disease.
Results:
We outline here a conceptual basis for designing such a language and describe BioD, a prototype language that we have used to explore the utility and feasibility of this approach to functional biology. Using example models, we demonstrate that a rather limited lexicon of icons and arrows suffices to describe complex cell-biological systems as discrete models that can be posted and linked on the internet.
Conclusions:
Given available computer and internet technology, BioD may be implemented as an extensible, multidisciplinary language that can be used to archive functional systems knowledge and be extended to support both qualitative and quantitative functional analysis.
Complete Metadata
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|---|---|
| accessLevel | public |
| bureauCode |
[
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"fn": "NIH",
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|
| description | Background: We propose that a computerized, internet-based graphical description language for systems biology will be essential for describing, archiving and analyzing complex problems of biological function in health and disease. Results: We outline here a conceptual basis for designing such a language and describe BioD, a prototype language that we have used to explore the utility and feasibility of this approach to functional biology. Using example models, we demonstrate that a rather limited lexicon of icons and arrows suffices to describe complex cell-biological systems as discrete models that can be posted and linked on the internet. Conclusions: Given available computer and internet technology, BioD may be implemented as an extensible, multidisciplinary language that can be used to archive functional systems knowledge and be extended to support both qualitative and quantitative functional analysis. |
| distribution |
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"@type": "dcat:Distribution",
"title": "Official Government Data Source",
"mediaType": "text/html",
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"downloadURL": "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC31481/"
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| identifier | https://healthdata.gov/api/views/t7fu-e76f |
| issued | 2025-07-13 |
| keyword |
[
"biological-networks",
"computational-biology",
"functional-modeling",
"nih",
"systems-biology"
]
|
| landingPage | https://healthdata.gov/d/t7fu-e76f |
| modified | 2025-09-06 |
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| publisher |
{
"name": "National Institutes of Health",
"@type": "org:Organization"
}
|
| theme |
[
"NIH"
]
|
| title | A basis for a visual language for describing, archiving and analyzing functional models of complex biological systems |
