Minimum information requested in the annotation of biochemical models (MIRIAM)
Open accessAbstract
Most of the published quantitative models in biology are lost for the community because they are either not made available or they are insufficiently characterized to allow them to be reused. The lack of a standard description format, lack of stringent reviewing and authors' carelessness are the main causes for incomplete model descriptions. With today's increased interest in detailed biochemical models, it is necessary to define a minimum quality standard for the encoding of those models. We propose a set of rules for curating quantitative models of biological systems. These rules define procedures for encoding and annotating models represented in machine-readable form. We believe their application will enable users to (i) have confidence that curated models are an accurate reflection of their associated reference descriptions, (ii) search collections of curated models with precision, (iii) quickly identify the biological phenomena that a given curated model or model constituent represents and (iv) facilitate model reuse and composition into large subcellular models.
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In systems biology, MIRIAM and MIASE are two community standards used for documenting simulation models and corresponding simulation experiments.
“In the case of systems biology, the “Minimum Information Requested in the Annotation of Biochemical Models (MIRIAM)” [7] and the “Minimum Information About a Simulation Experiment (MIASE)” [8] are two community standards used for documenting simulation models and corresponding simulation experiments.”
From Relating simulation studies by provenance—Developing a family of Wnt signaling models (2021) · cites this paper as [7]
Along with MIRIAM guidelines, MIASE compliance guarantees that the simulation experiment is true to the intention of the original authors and is reproducible.
“Along with MIRIAM [36] guidelines, MIASE compliance guarantees that the simulation experiment is true to the intention of the original authors and is reproducible.”
From Adapting modeling and simulation credibility standards to computational systems biology (2023) · cites this paper as [36]
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Cites
Gene Ontology: tool for the unification of biology
Ashburner, M., Ball, C. A., Blake, J. A., Botstein, D., Butler, H., Cherry, J. M., Davis, A. P., Dolinski, K., Dwight, S. S., Eppig, J. T., et al. (2000) · Nature Genetics · doi:10.1038/75556 · Cited by 43,206 · see citing works
Database resources of the National Center for Biotechnology Information: update
Wheeler, D. L. (2003) · Nucleic Acids Research · doi:10.1093/nar/gkh073 · Cited by 10,691 · see citing works
UniProt: the Universal Protein knowledgebase
Apweiler, R., Bairoch, A., Wu, C. H., Barker, W. C., Boeckmann, B., Ferro, S., Gasteiger, E., Huang, H.-Z., Lopez, R., Magrane, M., et al. (2004) · Nucleic Acids Res. · doi:10.1093/nar/gkh131 · Cited by 8,795 · see citing works
The KEGG resource for deciphering the genome
Kanehisa, M. (2003) · Nucleic Acids Research · doi:10.1093/nar/gkh063 · Cited by 5,121 · see citing works
Minimum information about a microarray experiment (MIAME)-toward standards for microarray data
Brazma, A., Hingamp, P., Quackenbush, J., Sherlock, G., Spellman, P., Stoeckert, C., Aach, J., Ansorge, W., Ball, C. A., Causton, H. C., et al. (2001) · Nature Genetics · doi:10.1038/ng1201-365 · Cited by 4,109 · see citing works
The SWISS-PROT protein knowledgebase and its supplement TrEMBL in 2003
Boeckmann, B. (2003) · Nucleic Acids Research · doi:10.1093/nar/gkg095 · Cited by 3,894 · see citing works
Online Mendelian Inheritance in Man (OMIM), a knowledgebase of human genes and genetic disorders
Hamosh, A. (2004) · Nucleic Acids Research · doi:10.1093/nar/gki033 · Cited by 3,443 · see citing works
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 · see citing works
Self-citationComputational systems biology.
Kitano, H. (2002) · Nature · doi:10.1038/nature01254 · Cited by 2,209 · see citing works
Uniform Resource Identifiers (URI): Generic Syntax
Berners‐Lee, T., Fielding, R. T., & Masinter, L. M. (1998) · doi:10.17487/rfc2396 · Cited by 1,749 · see citing works
The Ensembl genome database project
Hubbard, T. (2002) · Nucleic Acids Research · doi:10.1093/nar/30.1.38 · Cited by 1,610 · see citing works
KACSER, H., & Ja, B. (1973) · PubMed · Cited by 1,452 · see citing works
Simulating, Analyzing, and Animating Dynamical Systems
Ermentrout, B. (2002) · Society for Industrial and Applied Mathematics eBooks · doi:10.1137/1.9780898718195 · Cited by 1,271 · see citing works
Bairoch, A. (2000) · Nucleic Acids Res. · doi:10.1093/nar/28.1.304 · Cited by 1,182 · see citing works
Ermentrout, B. (1987) · Cited by 1,126 · see citing works
IntAct: an open source molecular interaction database
Hermjakob, H. (2003) · Nucleic Acids Research · doi:10.1093/nar/gkh052 · Cited by 1,013 · see citing works
Boolean formalization of genetic control circuits
Thomas, R. (1973) · Journal of Theoretical Biology · doi:10.1016/0022-5193(73)90247-6 · Cited by 989 · see citing works
Le Novere, N. (2006) · Nucleic Acids Research · doi:10.1093/nar/gkj092 · Cited by 762 · see citing works
EcoCyc: a comprehensive database resource for Escherichia coli
Keseler, I. M. (2004) · Nucleic Acids Research · doi:10.1093/nar/gki108 · Cited by 737 · see citing works
Hermjakob, H., Montecchi-Palazzi, L., Bader, G., Wojcik, J., Salwinski, L., Ceol, A., Moore, S., Orchard, S., Sarkans, U., von Mering, C., et al. (2004) · Nature Biotechnology · doi:10.1038/nbt926 · Cited by 630 · see citing works
Database resources of the National Center for Biotechnology Information
Wheeler, D. L. (2000) · Nucleic Acids Research · doi:10.1093/nar/28.1.10 · Cited by 583 · see citing works
InterPro, progress and status in 2005
Mulder, N. (2004) · Nucleic Acids Research · doi:10.1093/nar/gki106 · Cited by 546 · see citing works
Bower, J. M., & Beeman, D. (1998) · Springer eBooks · doi:10.1007/978-1-4612-1634-6 · Cited by 518 · see citing works
CellML: its future, present and past
Lloyd, C. M., Halstead, M. D. B., & Nielsen, P. F. (2004) · Progress in Biophysics and Molecular Biology · doi:10.1016/j.pbiomolbio.2004.01.004 · Cited by 499 · see citing works
Self-citationThe Protein Information Resource
Wu, C. H. (2003) · Nucleic Acids Research · doi:10.1093/nar/gkg040 · Cited by 455 · see citing works
Web-based kinetic modelling using JWS Online
Olivier, B. G., & Snoep, J. L. (2004) · Bioinformatics · doi:10.1093/bioinformatics/bth200 · Cited by 326 · see citing works
Self-citationA computational algebra approach to the reverse engineering of gene regulatory networks
Laubenbacher, R., & Stigler, B. (2004) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2004.04.037 · Cited by 283 · see citing works
Summary recommendations for standardization and reporting of metabolic analyses
The Standard Metabolic Reporting Structures working group (2005) · Nature Biotechnology · doi:10.1038/nbt0705-833 · Cited by 276 · see citing works
Salgado, H. (2003) · Nucleic Acids Research · doi:10.1093/nar/gkh140 · Cited by 262 · see citing works
Computational physiology and the physiome project
Crampin, E. J., Halstead, M. M., Hunter, P. J., Nielsen, P. F., Noble, D., Smith, N. P., & Tawhai, M. H. (2003) · Experimental Physiology · doi:10.1113/expphysiol.2003.026740 · Cited by 246 · see citing works
Self-citationPIRSF: family classification system at the Protein Information Resource
Wu, C. H. (2003) · Nucleic Acids Research · doi:10.1093/nar/gkh097 · Cited by 238 · see citing works
Systems biology markup language: Level 2 and beyond
Finney, A., & Hucka, M. (2003) · Biochemical Society Transactions · doi:10.1042/bst0311472 · Cited by 187 · see citing works
Self-citationBader, G. D., & Hogue, C. W. V. (2000) · Bioinformatics · doi:10.1093/bioinformatics/16.5.465 · Cited by 181 · see citing works
IntEnz, the integrated relational enzyme database
Fleischmann, A. (2003) · Nucleic Acids Research · doi:10.1093/nar/gkh119 · Cited by 178 · see citing works
Moats, R. (1997) · doi:10.17487/rfc2141 · Cited by 178 · see citing works
Symbolic Model Checking of Biochemical Networks
Chabrier, N. B., & Fages, F. (2003) · Lecture notes in computer science · doi:10.1007/3-540-36481-1_13 · Cited by 143 · see citing works
Sivakumaran, S., Hariharaputran, S., Mishra, J., & Bhalla, U. S. (2003) · Bioinformatics · doi:10.1093/bioinformatics/btf860 · Cited by 125 · see citing works
Self-citationSánchez, L., & Thieffry, D. (2003) · Journal of Theoretical Biology · doi:10.1016/s0022-5193(03)00201-7 · Cited by 90 · see citing works
Constructing Biological Pathway Models with Hybrid Functional Petri Nets
Doi, A., Fujita, S., Matsuno, H., et al. (2004) · In Silico Biology · doi:10.3233/isb-00133 · Cited by 88 · see citing works
Savinell, J. M., & Palsson, B. Ø. (1992) · Journal of Theoretical Biology · doi:10.1016/s0022-5193(05)80595-8 · Cited by 81 · see citing works
Data standards for 'omic' science
Quackenbush, J. (2004) · Nature Biotechnology · doi:10.1038/nbt0504-613 · Cited by 61 · see citing works
The Genome Knowledgebase: A Resource for Biologists and BioinformaticistsPreprint
JOSHI-TOPE, G., Västrik, I., Gopinath, G., Matthews, L. R., Schmidt, E., Gillespie, M. E., D’Eustachio, P., Jassal, B., Lewis, S., Wu, G., et al. (2003) · Cold Spring Harbor Symposia on Quantitative Biology · doi:10.1101/sqb.2003.68.237 · Cited by 60 · see citing works
Phan, I. Q. (2003) · Nucleic Acids Research · doi:10.1093/nar/gkg516 · Cited by 47 · see citing works
Quantitative Information Management for the Biochemical Computation of Cellular Networks
Campagne, F., Neves, S. R., Chang, C.-W., et al. (2004) · Science s STKE · doi:10.1126/stke.2482004pl11 · Cited by 42 · see citing works
Self-citationUpdate on genome completion and annotations: Protein Information Resource
Wu, C. H., & Nebert, D. W. (2004) · Human Genomics · doi:10.1186/1479-7364-1-3-229 · Cited by 30 · see citing works
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Thiele, I., Swainston, N., Fleming, R. M. T., Hoppe, A., Sahoo, S., Aurich, M. K., Haraldsdottir, H., Mo, M. L., Rolfsson, O., Stobbe, M. D., et al. (2013) · Nature Biotechnology · doi:10.1038/nbt.2488 · Cited by 1,019 · see citing works
Self-citationLe Novere, N. (2006) · Nucleic Acids Research · doi:10.1093/nar/gkj092 · Cited by 762 · see citing works
Herrgård, M. J., Swainston, N., Dobson, P., Dunn, W. B., Arga, K. Y., Arvas, M., Blüthgen, N., Borger, S., Costenoble, R., Heinemann, M., et al. (2008) · Nature Biotechnology · doi:10.1038/nbt1492 · Cited by 588 · see citing works
Self-citationPhysicochemical modelling of cell signalling pathways
Aldridge, B. B., Burke, J. M., Lauffenburger, D. A., & Sorger, P. K. (2006) · Nature Cell Biology · doi:10.1038/ncb1497 · Cited by 592 · see citing works
Kell, D. B. (2009) · BMC Medical Genomics · doi:10.1186/1755-8794-2-2 · Cited by 554 · see citing works
Taylor, C. F., Field, D., Sansone, S.-A., Aerts, J., Apweiler, R., Ashburner, M., Ball, C. A., Binz, P.-A., Bogue, M., Booth, T., et al. (2008) · Nature Biotechnology · doi:10.1038/nbt.1411 · Cited by 558 · see citing works
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Lee, J. A., Spidlen, J., Boyce, K., Cai, J., Crosbie, N., Dalphin, M., Furlong, J., Gasparetto, M., Goldberg, M., Goralczyk, E. M., et al. (2008) · Cytometry Part A · doi:10.1002/cyto.a.20623 · Cited by 533 · see citing works
MEMOTE for standardized genome-scale metabolic model testing
Lieven, C., Beber, M. E., Olivier, B. G., Bergmann, F. T., Ataman, M., Babaei, P., Bartell, J. A., Blank, L. M., Chauhan, S., Correia, K., et al. (2020) · Nature Biotechnology · doi:10.1038/s41587-020-0446-y · Cited by 509 · see citing works
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 · see citing works
Self-citationKell, D. B. (2010) · Archives of Toxicology · doi:10.1007/s00204-010-0577-x · Cited by 361 · see citing works
Rules for Modeling Signal-Transduction Systems
Hlavacek, W. S., Faeder, J. R., Blinov, M. L., Posner, R. G., Hucka, M., & Fontana, W. (2006) · Science's STKE · doi:10.1126/stke.3442006re6 · Cited by 350 · see citing works
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Courtot, M., Juty, N., Knüpfer, C., Waltemath, D., Zhukova, A., Dräger, A., Dumontier, M., Finney, A., Golebiewski, M., Hastings, J., et al. (2011) · Molecular Systems Biology · doi:10.1038/msb.2011.77 · Cited by 316 · see citing works
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Self-citationHucka, M., Bergmann, F. T., Chaouiya, C., Dräger, A., Hoops, S., Keating, S. M., König, M., Novère, N. L., Myers, C. J., Olivier, B. G., et al. (2019) · Journal of Integrative Bioinformatics · doi:10.1515/jib-2019-0021 · Cited by 258 · see citing works
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Self-citationMahdavi, A., Davey, R. E., Bhola, P., Yin, T., & Zandstra, P. W. (2007) · PLoS Computational Biology · doi:10.1371/journal.pcbi.0030130 · Cited by 65 · see citing works
Cucurull‐Sanchez, L., Chappell, M. J., Chelliah, V., Amy Cheung, S. Y., Derks, G., Penney, M., Phipps, A., Malik‐Sheriff, R. S., Timmis, J., Tindall, M. J., et al. (2019) · CPT: Pharmacometrics & Systems Pharmacology · doi:10.1002/psp4.12381 · Cited by 61 · see citing works
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BackgroundMethodInfluentialKell, D. B. (2007) · IUBMB Life · doi:10.1080/15216540701694252 · Cited by 52 · see citing works
Kirouac, D. C., Cicali, B., & Schmidt, S. (2019) · CPT: Pharmacometrics & Systems Pharmacology · doi:10.1002/psp4.12390 · Cited by 46 · see citing works
“” Although we do not intend to establish what this would be, annotation standards could start with those described in the minimum information requested in the annotation of biochemical models.(19) Checklists are typically required for the description of experimental data and methods,(20) and similar checklists could b…”
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“In the case of systems biology, the “Minimum Information Requested in the Annotation of Biochemical Models (MIRIAM)” [7] and the “Minimum Information About a Simulation Experiment (MIASE)” [8] are two community standards used for documenting simulation models and corresponding simulation experiments.”
MethodHucka, M., Bergmann, F. T., Dräger, A., Hoops, S., Keating, S. M., Le Novère, N., Myers, C. J., Olivier, B. G., Sahle, S., Schaff, J. C., et al. (2015) · Journal of Integrative Bioinformatics · doi:10.1515/jib-2015-271 · Cited by 16 · see citing works
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- Authors
- Novère, N. L., Finney, A., Hucka, M., Bhalla, U. S., Campagne, F., Collado-Vides, J., Crampin, E. J., Halstead, M., Klipp, E., Mendes, P., Nielsen, P., Sauro, H., Shapiro, B., Snoep, J. L., Spence, H. D., & Wanner, B. L.
- Affiliations
- California Institute of Technology (US)
- Tata Institute of Fundamental Research (IN)
- Cornell University (US)
- University of Auckland (NZ)
- Max Planck Society (DE)
- Virginia Tech (US)
- Keck Graduate Institute (US)
- Stellenbosch University (ZA)
- GlaxoSmithKline (United Kingdom) (GB)
- Purdue University West Lafayette (US)
- ORCID
- Venue
- Nature Biotechnology
- Published
- 2005-12
- Volume
- 23
- Issue
- 12
- Pages
- 1509-1515
- ISSN
- 0733-222X (ISSN-L)
- 1087-0156
- 1546-1696
- OpenAlex
- W2020561965
- Cited by
- 622
- References
- 45
- Citations by year
- 2026: 14 · 2025: 11 · 2024: 21 · 2023: 25 · 2022: 19 · 2021: 27 · 2020: 23 · 2019: 20 · 2018: 27 · 2017: 18 · 2016: 32 · 2015: 40 · 2014: 26 · 2013: 53 · 2012: 13
- FWCI
- 12.59
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- public-domain
- www.springer.com/tdm (tdm)
- Locations
- Nature Biotechnology (publishedVersion, public-domain)
- PubMed (publishedVersion)
- CaltechAUTHORS (California Institute of Technology) (submittedVersion)
- Max Planck Institute for Plasma Physics (submittedVersion)
- Research Explorer (The University of Manchester) (submittedVersion)
- MPG.PuRe (Max Planck Society) (submittedVersion, other-oa)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene Regulatory Network Analysis
- Social Sciences › Decision Sciences › Information Systems and Management › Scientific Computing and Data Management
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Microbial Metabolic Engineering and Bioproduction
- Keywords
- Miriam, model curation, model reuse
- MeSH terms
- Biochemistry, Cell Physiological Phenomena, Documentation, Models, Biological, Terminology as Topic, Databases, Factual, Information Storage and Retrieval, Guidelines as Topic, Information Dissemination
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.
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