BioModels—15 years of sharing computational models in life science
Open accessAbstract
Computational modelling has become increasingly common in life science research. To provide a platform to support universal sharing, easy accessibility and model reproducibility, BioModels (https://www.ebi.ac.uk/biomodels/), a repository for mathematical models, was established in 2005. The current BioModels platform allows submission of models encoded in diverse modelling formats, including SBML, CellML, PharmML, COMBINE archive, MATLAB, Mathematica, R, Python or C++. The models submitted to BioModels are curated to verify the computational representation of the biological process and the reproducibility of the simulation results in the reference publication. The curation also involves encoding models in standard formats and annotation with controlled vocabularies following MIRIAM (minimal information required in the annotation of biochemical models) guidelines. BioModels now accepts large-scale submission of auto-generated computational models. With gradual growth in content over 15 years, BioModels currently hosts about 2000 models from the published literature. With about 800 curated models, BioModels has become the world’s largest repository of curated models and emerged as the third most used data resource after PubMed and Google Scholar among the scientists who use modelling in their research. Thus, BioModels benefits modellers by providing access to reliable and semantically enriched curated models in standard formats that are easy to share, reproduce and reuse.
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Model repositories such as BioModels, JWS Online, or PMR2 provide different means to retrieve and use simulation models.
“Model repositories such as BioModels [10, 11], JWS Online [12], or the Physiome Model Repository 2 (PMR2) [13] provide different means to retrieve and use simulation models.”
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“QMs consist of a set of differential equations containing variables and parameters that describe how the system responds to different stimuli or perturbations [48].”
BackgroundReproducibility in systems biology modelling
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- Authors
- Malik-Sheriff, R. S., Glont, M., Nguyen, T. V. N., Tiwari, K., Roberts, M. G., Xavier, A., Vu, M. T., Men, J., Maire, M., Kananathan, S., Fairbanks, E. L., Meyer, J. P., Arankalle, C., Varusai, T. M., Knight-Schrijver, V., Li, L., Dueñas-Roca, C., Dass, G., Keating, S. M., Park, Y. M., Buso, N., Rodriguez, N., Hucka, M., & Hermjakob, H.
- Affiliations
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK
- European Bioinformatics Institute (GB)
- Babraham Institute (GB)
- California Institute of Technology (US)
- ORCID
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2019-11-08
- Volume
- 48
- Issue
- D1
- Pages
- D407-D415
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- PMC
- PMC7145643
- OpenAlex
- W2988361147
- Cited by
- 361
- References
- 8
- Citations by year
- 2026: 19 · 2025: 59 · 2024: 71 · 2023: 64 · 2022: 74 · 2021: 50 · 2020: 21 · 2019: 3
- FWCI
- 43.80
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Nucleic Acids Research (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- CaltechAUTHORS (California Institute of Technology) (submittedVersion, cc-by)
- Funders
- Biotechnology and Biological Sciences Research Council (BB/J019305/1, BB/J004456/1, BB/P013384/1, BB/P013406/1, BB/P013414/1, BB/L502224/1)
- Innovative Medicines Initiative (115156, 116030)
- European Molecular Biology Laboratory
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Scientific Computing and Data Management
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene Regulatory Network Analysis
- Physical Sciences › Computer Science › Information Systems › Research Data Management Practices
- Keywords
- biomodels, mathematical model, computational model, model repository, model curation, model reproducibility, SBML, CellML, Miriam, controlled vocabulary, model annotation, model sharing, model reuse
- MeSH terms
- Biological Science Disciplines, Models, Biological, Programming Languages, Software, User-Computer Interface, Conflict of Interest
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