A basis for a visual language for describing, archiving and analyzing functional models of complex biological systems
- PMID: 11305940
- PMCID: PMC31481
- DOI: 10.1186/gb-2001-2-4-research0012
A basis for a visual language for describing, archiving and analyzing functional models of complex biological systems
Abstract
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.
Figures






Similar articles
-
The layer-oriented approach to declarative languages for biological modeling.PLoS Comput Biol. 2012;8(5):e1002521. doi: 10.1371/journal.pcbi.1002521. Epub 2012 May 17. PLoS Comput Biol. 2012. PMID: 22615554 Free PMC article.
-
The Systems Biology Markup Language (SBML): Language Specification for Level 3 Version 2 Core.J Integr Bioinform. 2018 Mar 9;15(1):20170081. doi: 10.1515/jib-2017-0081. J Integr Bioinform. 2018. PMID: 29522418 Free PMC article.
-
Simulation Experiment Description Markup Language (SED-ML) Level 1 Version 3 (L1V3).J Integr Bioinform. 2018 Mar 19;15(1):20170086. doi: 10.1515/jib-2017-0086. J Integr Bioinform. 2018. PMID: 29550789 Free PMC article.
-
XML, bioinformatics and data integration.Bioinformatics. 2001 Feb;17(2):115-25. doi: 10.1093/bioinformatics/17.2.115. Bioinformatics. 2001. PMID: 11238067 Review.
-
CellML: its future, present and past.Prog Biophys Mol Biol. 2004 Jun-Jul;85(2-3):433-50. doi: 10.1016/j.pbiomolbio.2004.01.004. Prog Biophys Mol Biol. 2004. PMID: 15142756 Review.
Cited by
-
Extended CADLIVE: a novel graphical notation for design of biochemical network maps and computational pathway analysis.Nucleic Acids Res. 2007;35(20):e134. doi: 10.1093/nar/gkm769. Epub 2007 Oct 16. Nucleic Acids Res. 2007. PMID: 17940089 Free PMC article.
-
Ontology-based representation of simulation models of physiology.AMIA Annu Symp Proc. 2006;2006:664-8. AMIA Annu Symp Proc. 2006. PMID: 17238424 Free PMC article.
-
Representing physiological processes and their participants with PhysioMaps.J Biomed Semantics. 2013 Apr 15;4 Suppl 1(Suppl 1):S2. doi: 10.1186/2041-1480-4-S1-S2. Epub 2013 Apr 15. J Biomed Semantics. 2013. PMID: 23735231 Free PMC article.
-
Depicting combinatorial complexity with the molecular interaction map notation.Mol Syst Biol. 2006;2:51. doi: 10.1038/msb4100088. Epub 2006 Oct 3. Mol Syst Biol. 2006. PMID: 17016517 Free PMC article. Review.
-
A comprehensive pathway map of epidermal growth factor receptor signaling.Mol Syst Biol. 2005;1:2005.0010. doi: 10.1038/msb4100014. Epub 2005 May 25. Mol Syst Biol. 2005. PMID: 16729045 Free PMC article.
References
-
- Karp PD. Metabolic databases. Trends Biochem Sci. 1998;23:114–116. - PubMed
-
- From sequence to function. An introduction to the KEGG project http://kegg.genome.ad.jp/kegg/kegg2.html
-
- McAdams HH, Shapiro L. Circuit simulation of genetic networks. Science. 1995;269:650–656. - PubMed
-
- Takai-Igarashi T, Nadaoka Y, Kaminuma T. A database for cell signaling networks. J Comput Biol. 1998;5:747–754. - PubMed
-
- Transpath home page http://193.175.244.148/index.html
MeSH terms
LinkOut - more resources
Full Text Sources