Cited by 622Gene Regulatory Network AnalysisScientific Computing and Data ManagementMicrobial Metabolic Engineering and Bioproduction

Minimum information requested in the annotation of biochemical models (MIRIAM)

Open access
Novère, Nicolas Le, Finney, Andrew, Hucka, Michael, Bhalla, Upinder S, Campagne, Fabien, Collado-Vides, Julio, Crampin, Edmund J, Halstead, Matt +8 more·2005·Nature Biotechnology

Abstract

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.”
  • 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.”

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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)
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
Licence
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

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