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SBML Level 3: an extensible format for the exchange and reuse of biological models.

Authors :
Keating SM
Waltemath D
König M
Zhang F
Dräger A
Chaouiya C
Bergmann FT
Finney A
Gillespie CS
Helikar T
Hoops S
Malik-Sheriff RS
Moodie SL
Moraru II
Myers CJ
Naldi A
Olivier BG
Sahle S
Schaff JC
Smith LP
Swat MJ
Thieffry D
Watanabe L
Wilkinson DJ
Blinov ML
Begley K
Faeder JR
Gómez HF
Hamm TM
Inagaki Y
Liebermeister W
Lister AL
Lucio D
Mjolsness E
Proctor CJ
Raman K
Rodriguez N
Shaffer CA
Shapiro BE
Stelling J
Swainston N
Tanimura N
Wagner J
Meier-Schellersheim M
Sauro HM
Palsson B
Bolouri H
Kitano H
Funahashi A
Hermjakob H
Doyle JC
Hucka M
Source :
Molecular systems biology [Mol Syst Biol] 2020 Aug; Vol. 16 (8), pp. e9110.
Publication Year :
2020

Abstract

Systems biology has experienced dramatic growth in the number, size, and complexity of computational models. To reproduce simulation results and reuse models, researchers must exchange unambiguous model descriptions. We review the latest edition of the Systems Biology Markup Language (SBML), a format designed for this purpose. A community of modelers and software authors developed SBML Level 3 over the past decade. Its modular form consists of a core suited to representing reaction-based models and packages that extend the core with features suited to other model types including constraint-based models, reaction-diffusion models, logical network models, and rule-based models. The format leverages two decades of SBML and a rich software ecosystem that transformed how systems biologists build and interact with models. More recently, the rise of multiscale models of whole cells and organs, and new data sources such as single-cell measurements and live imaging, has precipitated new ways of integrating data with models. We provide our perspectives on the challenges presented by these developments and how SBML Level 3 provides the foundation needed to support this evolution.<br /> (© 2020 California Institute of Technology Published under the terms of the CC BY 4.0 license.)

Details

Language :
English
ISSN :
1744-4292
Volume :
16
Issue :
8
Database :
MEDLINE
Journal :
Molecular systems biology
Publication Type :
Academic Journal
Accession number :
32845085
Full Text :
https://doi.org/10.15252/msb.20199110