SBML Level 3 Package: Flux Balance Constraints version 2
Open accessAbstract
Constraint-based modeling is a well established modeling methodology used to analyze and study biological networks on both a medium and genome scale. Due to their large size and complexity such steady-state flux models are, typically, analyzed using constraint-based optimization techniques, for example, flux balance analysis (FBA). The Flux balance constraints (FBC) Package extends SBML Level 3 and provides a standardized format for the encoding, exchange and annotation of constraint-based models. It includes support for modeling concepts such as objective functions, flux bounds and model component annotation that facilitates reaction balancing. Version two expands on the original release by adding official support for encoding gene-protein associations and their associated elements. In addition to providing the elements necessary to unambiguously encode existing constraint-based models, the FBC Package provides an open platform facilitating the continued, cross-community development of an interoperable, constraint-based model encoding format.
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MEMOTE tests check that a model is annotated according to the MIRIAM standard, that components are described using SBO terms, and that the model is properly constructed using the relevant SBML package, SBML-FBC.
“The tests check that a model is annotated according to the MIRIAM standard, that components are described using SBO terms, and that the model is properly constructed using the relevant SBML package, SBML-FBC [66, 67].”
From Adapting modeling and simulation credibility standards to computational systems biology (2023) · cites this paper as [67]
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MEMOTE for standardized genome-scale metabolic model testing
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Self-citationAdapting modeling and simulation credibility standards to computational systems biology
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Schreiber, F., Sommer, B., Czauderna, T., Golebiewski, M., Gorochowski, T. E., Hucka, M., Keating, S. M., König, M., Myers, C., Nickerson, D., et al. (2020) · Journal of Integrative Bioinformatics · doi:10.1515/jib-2020-0022 · Cited by 17 · see citing works
Wen, J., Rapp, K., Dahlin, L. R., Li, C.-T., Sebesta, J., Barry, A. N., Guarnieri, M. T., Peebles, C., & Betenbaugh, M. (2021) · Algal Research · doi:10.1016/j.algal.2021.102520 · Cited by 3 · see citing works
- Authors
- Olivier, B. G., & Bergmann, F. T.
- Affiliations
- California Institute of Technology (US)
- Corresponding author
- Olivier, Brett G.
- Venue
- Journal of Integrative Bioinformatics
- Publisher
- Walter de Gruyter GmbH
- Published
- 2018-03-09
- Volume
- 15
- Issue
- 1
- ISSN
- 1432-4385 (ISSN-L)
- 1613-4516
- PMC
- PMC6167036
- OpenAlex
- W2791048175
- Cited by
- 94
- References
- 0
- Citations by year
- 2026: 8 · 2025: 3 · 2024: 8 · 2023: 8 · 2022: 7 · 2021: 22 · 2020: 17 · 2019: 12 · 2018: 7 · 2017: 1
- FWCI
- 5.16
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics (publishedVersion, cc-by-nc-nd)
- Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- VU Research Portal (publishedVersion, other-oa)
- CaltechAUTHORS (California Institute of Technology) (submittedVersion, cc-by-nc-nd)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Microbial Metabolic Engineering and Bioproduction
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene Regulatory Network Analysis
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
- Keywords
- constraint-based modeling, flux balance analysis, genome-scale metabolic models, model exchange format, user-defined constraints, model annotation, interoperability
- MeSH terms
- Animals, Documentation, Humans, Models, Biological, Software, Signal Transduction, Guidelines as Topic, Systems Biology, Metabolic Flux Analysis
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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