The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
The Physiome Model Repository 2
Abstract
Motivation: The Physiome Model Repository 2 (PMR2) software was created as part of the IUPS Physiome Project (Hunter and Borg, 2003), and today it serves as the foundation for the CellML model repository. Key advantages brought to the end user by PMR2 include: facilities for model exchange, enhanced collaboration and a detailed change history for each model. Availability: PMR2 is available under an open source license at http://www.cellml.org/tools/pmr/; a fully functional instance of this software can be accessed at http://models.physiomeproject.org/. Contact: tommy.yu@auckland.ac.nz
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“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.”
From Relating simulation studies by provenance—Developing a family of Wnt signaling models (2021) · cites this paper as [13]
Citations
Cites
(1994) · Cited by 21,711
Hucka, M., Finney, A., Sauro, H. M., Bolouri, H., Doyle, J. C., Kitano, H., Arkin, A. P., Bornstein, B. J., Bray, D., Cornish-Bowden, A., et al. (2003) · Bioinformatics · doi:10.1093/bioinformatics/btg015 · Cited by 3,060
Self-citationLi, C., Donizelli, M., Rodríguez, N., Dharuri, H. K., Endler, L., Chelliah, V., Li, L., He, E., Henry, A., Stefan, M. I., et al. (2010) · BMC Systems Biology · doi:10.1186/1752-0509-4-92 · Cited by 561
Integration from proteins to organs: the Physiome Project
Hunter, P. J., & Borg, T. K. (2003) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm1054 · Cited by 486
Self-citationLibSBML: an API Library for SBML
Bornstein, B. J., Keating, S. M., Jouraku, A., & Hucka, M. (2008) · Bioinformatics · doi:10.1093/bioinformatics/btn051 · Cited by 373
An Overview of CellML 1.1, a Biological Model Description Language
Cuellar, A. A., Lloyd, C. M., Nielsen, P. F., Bullivant, D. P., Nickerson, D. P., & Hunter, P. J. (2003) · SIMULATION · doi:10.1177/0037549703040939 · Cited by 345
Self-citationWeb-based kinetic modelling using JWS Online
Olivier, B. G., & Snoep, J. L. (2004) · Bioinformatics · doi:10.1093/bioinformatics/bth200 · Cited by 326
Lloyd, C. M., Lawson, J. R., Hunter, P. J., & Nielsen, P. F. (2008) · Bioinformatics · doi:10.1093/bioinformatics/btn390 · Cited by 276
Self-citationFieldML: concepts and implementation
Christie, G. R., Nielsen, P. M. F., Blackett, S. A., Bradley, C. P., & Hunter, P. J. (2009) · Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences · doi:10.1098/rsta.2009.0025 · Cited by 102
Self-citationAn overview of the CellML API and its implementation
Miller, A. K., Marsh, J., Reeve, A. M., Garny, A., Britten, R. D., Halstead, M. D. B., Cooper, J., Nickerson, D. P., & Nielsen, P. F. (2010) · BMC Bioinformatics · doi:10.1186/1471-2105-11-178 · Cited by 81
Self-citation
Flagged first, then by citations
Research works printed but not linked: 2
- Aspeli, 2007, Professional Plone Development.
- Baiju, 2009, A Comprehensive Guide to Zope Component Architecture.
Cited by
Sorted by citations
Items 101–172 of 172
Composing Modeling and Simulation with Machine Learning in Julia
Rackauckas, C., Saba, E., Rajput, U., Pal, A., Martinuzzi, F., Ma, Y., Laughman, C., Jain, A., Gwóźdź, M., Gowda, S., et al. (2021) · Linköping electronic conference proceedings · doi:10.3384/ecp2118197 · Cited by 5
A semantics, energy-based approach to automate biomodel composition
Shahidi, N., Pan, M., Tran, K., Crampin, E., & Nickerson, D. (2021) · bioRxiv · doi:10.1371/journal.pone.0269497 · Cited by 7
Self-citationStandards, Platforms, and Applications
Gu, S., & Sauro, H. M. (2013) · Elsevier eBooks · doi:10.1016/b978-0-12-405926-9.00008-3 · Cited by 4
CASBERT: BERT-based retrieval for compositely annotated biosimulation model entities
Munarko, Y., Rampadarath, A., & Nickerson, D. P. (2023) · Frontiers in Bioinformatics · doi:10.3389/fbinf.2023.1107467 · Cited by 6
Self-citationSBML to bond graphs: From conversion to composition
Shahidi, N., Pan, M., Tran, K., Crampin, E. J., & Nickerson, D. P. (2022) · Mathematical Biosciences · doi:10.1016/j.mbs.2022.108901 · Cited by 4
Self-citationReproducibility and FAIR principles: the case of a segment polarity network model
Mendes, P. (2023) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2023.1201673 · Cited by 5
Connecting digital cancer model repositories with markup
Johnson, D., McKeever, S., Deisboeck, T. S., & Wang, Z. (2013) · ACM SIGBioinformatics Record · doi:10.1145/2544063.2544064 · Cited by 5
Requirements for the formal representation of pathophysiology mechanisms by clinicians
de Bono, B., Helvensteijn, M., Kokash, N., Martorelli, I., Sarwar, D. M., Islam, S., Grenon, P., & Hunter, P. J. (2016) · Interface Focus · doi:10.1098/rsfs.2015.0099 · Cited by 4
Self-citationChallenges and opportunities for system biology standards and tools in medical research
König, M., Oellrich, A., Waltemath, D., Dobson, R., Hubbard, T., & Olaf Wolkenhauer, A. (2016) · Research Portal (King's College London) · Cited by 4
Data Formats for Systems Biology and Quantitative Modeling
Golebiewski, M. (2018) · Elsevier eBooks · doi:10.1016/b978-0-12-809633-8.20471-8 · Cited by 4
Standards and tools supporting collaborative development of the virtual physiological human
Nickerson, D. P., Garny, A., Nielsen, P. M. F., & Hunter, P. J. (2013) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2013.6610805 · Cited by 3
Self-citationInverse estimation of cardiac activation times via gradient‐based optimization
Kallhovd, S., Maleckar, M. M., & Rognes, M. E. (2017) · International Journal for Numerical Methods in Biomedical Engineering · doi:10.1002/cnm.2919 · Cited by 3
Munarko, Y., Rampadarath, A., & Nickerson, D. P. (2023) · F1000Research · doi:10.12688/f1000research.128982.1 · Cited by 3
Self-citationEvolution of computational models in BioModels Database and the Physiome Model Repository
Scharm, M., Gebhardt, T., Touré, V., Bagnacani, A., Salehzadeh‐Yazdi, A., Wolkenhauer, O., & Waltemath, D. (2018) · BMC Systems Biology · doi:10.1186/s12918-018-0553-2 · Cited by 3
NLIMED: Natural Language Interface for Model Entity Discovery in Biosimulation Model Repositories
Munarko, Y., Sarwar, D. M., Rampadarath, A., Atalağ, K., Gennari, J. H., Neal, M. L., & Nickerson, D. P. (2022) · Frontiers in Physiology · doi:10.3389/fphys.2022.820683 · Cited by 3
Self-citationHendrix, M., Clerx, M., Tamuri, A. U., Keating, S., Johnstone, R. H., Cooper, J., & Mirams, G. R. (2022) · Wellcome Open Research · doi:10.12688/wellcomeopenres.17206.2 · Cited by 3
Overview: Standards for Modeling in Systems Medicine
Dräger, A., & Waltemath, D. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-816077-0.00001-7 · Cited by 3
COVIDGraph: Connecting biomedical COVID-19 resources and computational biology models
Gütebier, L., Henkel, R., Jarasch, A., Bleimehl, T., Müller, S. A., Munro, J., Preusse, M., Walthemath, D., & Team HealthEcco (2021) · Very Large Data Bases · Cited by 3
Coatrieux, J.-L., Frangi, A. F., Peng, G. C. Y., D’Argenio, D. Z., Marmarelis, V. Z., & Michailova, A. (2011) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2011.2168990 · Cited by 3
Opportunities for community awareness platforms in personal genomics and bioinformatics education
Bianchi, L., & Lió, P. (2016) · Briefings in Bioinformatics · doi:10.1093/bib/bbw078 · Cited by 2
Annotations for Rule-Based Models
Cavaliere, M., Danos, V., Honorato-Zimmer, R., & Waites, W. (2018) · Methods in molecular biology · doi:10.1007/978-1-4939-9102-0_13 · Cited by 1
Personalization of Cellular Electrophysiology Models: Utopia?
Clerx, M. (2018) · Computing in cardiology · doi:10.22489/cinc.2018.063 · Cited by 2
Numerical Simulations for Cardiac Electrophysiology Problems
Chernyshenko, A. Y., Danilov, A. A., & Vassilevski, Y. V. (2019) · Springer eBooks · doi:10.1007/978-3-030-23433-1_21 · Cited by 2
Model Reproducibility: Overview
Crook, S. M. (2014) · Encyclopedia of Computational Neuroscience · doi:10.1007/978-1-4614-7320-6_763-1 · Cited by 2
Notions of similarity for computational biology modelsPreprint
Henkel, R., Hoehndorf, R., Kacprowski, T., Knüpfer, C. R. N., Liebermeister, W., & Waltemath, D. (2016) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/044818 · Cited by 2
Multi-scale modeling and variability in cardiac cellular electrophysiology
Clerx (2017) · Research Publications (Maastricht University) · doi:10.26481/dis.20170420mc · Cited by 3
Databases and Data Repositories in Computational Neuroscience: Overview
Gerkin, R. C., Tripathy, S. J., Crook, S. M., & Kotaleski, J. H. (2022) · Encyclopedia of Computational Neuroscience · doi:10.1007/978-1-0716-1006-0_780 · Cited by 2
Virtual models (aka: in silico or computational models)
DeWoskin, R. S., Knudsen, T. B., & Shah, I. (2022) · Elsevier eBooks · doi:10.1016/b978-0-12-824315-2.00094-4 · Cited by 2
FAIRification of computational models in biologyPreprint
Balaur, I., Nickerson, D. P., Welter, D., Wodke, J. A. H., Ancien, F., Gebhardt, T., Grouès, V., Hermjakob, H., König, M., Radde, N. E., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.03.21.644517 · Cited by 2
Self-citationKulhánek, T., Matejak, M., Šilar, J., & Kofránek, J. (2014) · IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI ...) · doi:10.1109/bhi.2014.6864463 · Cited by 1
Physiological Model Creation and Sharing
Šilar, J., & Kofránek, J. (2011) · European Journal for Biomedical Informatics · doi:10.24105/ejbi.2011.07.1.10 · Cited by 1
Coupling of PDE and ODE Solvers in INMOST Parallel Platform: Application to Electrophysiology
Chernyshenko, A. Y., Danilov, A. A., & Kramarenko, V. K. (2019) · Communications in computer and information science · doi:10.1007/978-3-030-36592-9_16 · Cited by 1
Biomedical Repositories for Simulation Studies
Henkel, R. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-801238-3.11684-8 · Cited by 1
Hendrix, M., Clerx, M., Tamuri, A. U., Keating, S., Johnstone, R. H., Cooper, J., & Mirams, G. R. (2021) · Wellcome Open Research · doi:10.12688/wellcomeopenres.17206.1 · Cited by 1
Wolkenhauer, O., & Gebhardt, T. (2021) · Springer eBooks · doi:10.1007/978-3-662-61707-6_48 · Cited by 1
Finding patterns in biochemical reaction networksPreprint
Henkel, R., Lambusch, F., Wolkenhauer, O., Sandkuhl, K., Rosenke, C., & Waltemath, D. (2016) · PeerJ Preprints · doi:10.7287/peerj.preprints.1479v2 · Cited by 1
Databases and Data Repositories in Computational Neuroscience: Overview
Gerkin, R. C., Tripathy, S. J., Crook, S. M., & Kotaleski, J. H. (2015) · Encyclopedia of Computational Neuroscience · doi:10.1007/978-1-4614-6675-8_780
A WEB-BASED REPOSITORY OF REPRODUCIBLE SIMULATION EXPERIMENTS FOR SYSTEMS BIOLOGY
Guravage, M. A., & Merks, R. M. H. (2011) · International Conference on Simulation and Modeling Methodologies, Technologies and Applications · doi:10.5220/0003598001340141
Distributed Model Construction with Virtual Parts
Cooling, M. T., & Yu, T. (2014) · Methods in molecular biology · doi:10.1007/978-1-4939-1878-2_15
Self-citationSarwar, D., Munarko, Y., & Nickerson, D. (2019) · bioRxiv · doi:10.1101/631465 · Cited by 1
Self-citationCellML Model Discovery with the Physiome Model Repository
Sarwar, D. M., & Nickerson, D. P. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-801238-3.11681-2
Self-citationReproducibility study of the Fabbri et al. 2017 model of the human sinus node action potential
Afshar, N., Fabbri, A., Severi, S., Garny, A., & Nickerson, D. P. (2021) · Physiome · doi:10.36903/physiome.16550526.v1
Self-citationComputational Modelling of Glucose Uptake in the Enterocyte
Afshar, N., Safaei, S., Nickerson, D. P., Hunter, P. J., & Suresh, V. (2020) · Physiome · doi:10.36903/physiome.13034423.v2
Self-citationComputational Modelling of Glucose Uptake in the Enterocyte
Afshar, N., Safaei, S., Nickerson, D. P., Hunter, P. J., & Suresh, V. (2022) · Physiome · doi:10.36903/physiome.13034423.v3
Self-citationComputational Modelling of Glucose Uptake in the Enterocyte
Afshar, N., Safaei, S., Nickerson, D. P., Hunter, P. J., & Suresh, V. (2022) · Physiome · doi:10.36903/physiome.13034423.v4
Self-citationDatabases and Data Repositories in Computational Neuroscience: Overview
Gerkin, R. C., Tripathy, S. J., Crook, S. M., & Kotaleski, J. H. (2014) · Encyclopedia of Computational Neuroscience · doi:10.1007/978-1-4614-7320-6_780-1
Beard, D. A. (2013) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.718198623.793488366
Model Reproducibility: Overview
Crook, S. M. (2020) · Encyclopedia of Computational Neuroscience · doi:10.1007/978-1-4614-7320-6_763-2
Computational Modelling of Glucose Uptake in the Enterocyte
Afshar, N., Safaei, S., Nickerson, D. P., Hunter, P. J., & Suresh, V. (2020) · Physiome · doi:10.36903/physiome.13034423
Self-citationModel Reproducibility: Overview
Crook, S. M. (2015) · Encyclopedia of Computational Neuroscience · doi:10.1007/978-1-4614-6675-8_763
Computational Modelling of Glucose Uptake in the Enterocyte
Afshar, N., Safaei, S., Nickerson, D. P., Hunter, P. J., & Suresh, V. (2020) · Physiome · doi:10.36903/physiome.13034423.v1
Self-citationLloyd, C. M. (2013) · Springer eBooks · doi:10.1007/978-1-4419-9863-7_1529
Self-citationYu, T., Britten, R. D., Nickerson, D. P., Hunter, P. J., & Nielsen, P. M. F. (2014) · Encyclopedia of Computational Neuroscience · doi:10.1007/978-1-4614-7320-6_168-1
Self-citationReproducibility study of the Fabbri et al. 2017 model of the human sinus node action potential
Afshar, N., Fabbri, A., Severi, S., Garny, A., & Nickerson, D. P. (2021) · Physiome · doi:10.36903/physiome.16550526
Self-citationYu, T., Britten, R. D., Nickerson, D. P., Hunter, P. J., & Nielsen, P. M. F. (2015) · Encyclopedia of Computational Neuroscience · doi:10.1007/978-1-4614-6675-8_168
Self-citationReproducibility study of the Fabbri et al. 2017 model of the human sinus node action potential
Afshar, N., Fabbri, A., Severi, S., Garny, A., & Nickerson, D. P. (2021) · Physiome · doi:10.36903/physiome.16550526.v2
Self-citationDatabases and Data Repositories in Computational Neuroscience: Overview
Gerkin, R. C., Tripathy, S. J., Crook, S. M., & Kotaleski, J. H. (2020) · Encyclopedia of Computational Neuroscience · doi:10.1007/978-1-4614-7320-6_780-3
Databases and Data Repositories in Computational Neuroscience: Overview
Gerkin, R. C., Tripathy, S. J., Crook, S. M., & Kotaleski, J. H. (2015) · Encyclopedia of Computational Neuroscience · doi:10.1007/978-1-4614-7320-6_780-2
Yu, T., Britten, R. D., Nickerson, D. P., Hunter, P. J., & Nielsen, P. M. F. (2022) · Encyclopedia of Computational Neuroscience · doi:10.1007/978-1-0716-1006-0_168
Self-citationModel Reproducibility: Overview
Crook, S. M. (2022) · Encyclopedia of Computational Neuroscience · doi:10.1007/978-1-0716-1006-0_763
Afshar, N., Safaei, S., Nickerson, D. P., Hunter, P. J., & Suresh, V. (2023) · Physiome · doi:10.36903/physiome.21708179
Self-citationAfshar, N., Safaei, S., Nickerson, D. P., Hunter, P. J., & Suresh, V. (2023) · Physiome · doi:10.36903/physiome.21708179.v1
Self-citationBioModels’ Model of the Year 2023
Malik‐Sheriff, R. S., Asari, H., Hermjakob, H., Huber, W., Quail, T., Santos, S. D. M., Smith, A. M., & Uhlmann, V. (2024) · Frontiers in Systems Biology · doi:10.3389/fsysb.2024.1363884
Mazloom, R., Bayat, G., Khalili, A., & Arabi, M. (2024) · Alborz University Medical Journal · doi:10.61186/aums.13.1.63
Integrating Clustering with Overlaps into Intelligent Agent Systems
Shaw, P. M., Barr, J. R., Lean, S., & Abu-Khzam, F. N. (2024) · Conference on AI, Science, Engineering, and Technology (AIxSET) · doi:10.1109/aixset62544.2024.00013
Barral, Y.-S. H. M., Polonchuk, L., Clerx, M., Gavaghan, D. J., Mirams, G. R., & Wang, K. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.02.26.640287
Barral, Y.-S. H. M., Polonchuk, L., Clerx, M., Gavaghan, D. J., Mirams, G. R., & Wang, K. (2025) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1012913
BioModels’ model of the year 2024
Malik‐Sheriff, R. S., Asari, H., Geris, L., Hermjakob, H., Raman, K., Shtylla, B., & Zimmermann‐Kogadeeva, M. (2026) · Frontiers in Systems Biology · doi:10.3389/fsysb.2026.1829848
FAIRsharing record for: BioModels
FAIRsharing Team (2015) · FAIRsharing.org · doi:10.25504/fairsharing.paz6mh
FAIRsharing record for: Human Physiome Field Markup Language
FAIRsharing Team (2015) · FAIRsharing.org · doi:10.25504/fairsharing.hbh5mk
FAIRsharing record for: COMODI
FAIRsharing Team (2018) · FAIRsharing.org · doi:10.25504/fairsharing.htq39f
Metadata
- Authors
- Yu, T., Lloyd, C. M., Nickerson, D. P., Cooling, M. T., Miller, A. K., Garny, A., Terkildsen, J. R., Lawson, J., Britten, R. D., Hunter, P. J., & Nielsen, P. M. F.
- Affiliations
- University of Auckland (NZ)
- Corresponding author
- Yu, Tommy
- ORCID
- Venue
- Bioinformatics
- Publisher
- Oxford University Press (OUP)
- Published
- 2011-01-06
- Volume
- 27
- Issue
- 5
- Pages
- 743-744
- ISSN
- 1367-4803 (ISSN-L)
- 1367-4811
- OpenAlex
- W2171926758
- Cited by
- 169
- References
- 11
- Citations by year
- 2026: 1 · 2025: 4 · 2024: 4 · 2023: 10 · 2022: 19 · 2021: 16 · 2020: 16 · 2019: 13 · 2018: 11 · 2017: 10 · 2016: 17 · 2015: 15 · 2014: 13 · 2013: 12 · 2012: 4
- FWCI
- 25.18
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Bioinformatics (publishedVersion)
- PubMed (publishedVersion)
- ResearchSpace (University of Auckland) (submittedVersion)
- Funders
- Wellcome Trust
- National Institute for Health and Care Research (NF-SI-0508-10212)
- British Heart Foundation
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Scientific Computing and Data Management
- Physical Sciences › Computer Science › Information Systems › Research Data Management Practices
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene Regulatory Network Analysis
- Keywords
- CellML, model repository, model exchange, model versioning, change history, open source software, computational physiology, model collaboration
- MeSH terms
- Models, Biological, Software, Databases, Factual, Computational Biology, Internet
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 ›
Are you an author, or do you see a problem with this page? Request a review