» Articles » PMID: 35330701

The Simulation Experiment Description Markup Language (SED-ML): Language Specification for Level 1 Version 4

Overview
Specialty Biology
Date 2022 Mar 25
PMID 35330701
Authors
Affiliations
Soon will be listed here.
Abstract

Computational simulation experiments increasingly inform modern biological research, and bring with them the need to provide ways to annotate, archive, share and reproduce the experiments performed. These simulations increasingly require extensive collaboration among modelers, experimentalists, and engineers. The Minimum Information About a Simulation Experiment (MIASE) guidelines outline the information needed to share simulation experiments. SED-ML is a computer-readable format for the information outlined by MIASE, created as a community project and supported by many investigators and software tools. The first versions of SED-ML focused on deterministic and stochastic simulations of models. Level 1 Version 4 of SED-ML substantially expands these capabilities to cover additional types of models, model languages, parameter estimations, simulations and analyses of models, and analyses and visualizations of simulation results. To facilitate consistent practices across the community, Level 1 Version 4 also more clearly describes the use of SED-ML constructs, and includes numerous concrete validation rules. SED-ML is supported by a growing ecosystem of investigators, model languages, and software tools, including eight languages for constraint-based, kinetic, qualitative, rule-based, and spatial models, over 20 simulation tools, visual editors, model repositories, and validators. Additional information about SED-ML is available at https://sed-ml.org/.

Citing Articles

Using SED-ML for reproducible curation: Verifying BioModels across multiple simulation engines.

Smith L, Malik-Sheriff R, Nguyen T, Hermjakob H, Karr J, Shaikh B bioRxiv. 2025; .

PMID: 39896466 PMC: 11785046. DOI: 10.1101/2025.01.16.633337.


A framework for multi-scale intervention modeling: virtual cohorts, virtual clinical trials, and model-to-model comparisons.

Michael C, Almohri S, Linderman J, Kirschner D Front Syst Biol. 2024; 3.

PMID: 39310676 PMC: 11415237. DOI: 10.3389/fsysb.2023.1283341.


ENCORE: a practical implementation to improve reproducibility and transparency of computational research.

van Kampen A, Mahamune U, Jongejan A, van Schaik B, Balashova D, Lashgari D Nat Commun. 2024; 15(1):8117.

PMID: 39284801 PMC: 11405857. DOI: 10.1038/s41467-024-52446-8.


Biology System Description Language (BiSDL): a modeling language for the design of multicellular synthetic biological systems.

Giannantoni L, Bardini R, Savino A, Di Carlo S BMC Bioinformatics. 2024; 25(1):166.

PMID: 38664639 PMC: 11046772. DOI: 10.1186/s12859-024-05782-x.


Design patterns of biological cells.

Andrews S, Wiley H, Sauro H Bioessays. 2024; 46(3):e2300188.

PMID: 38247191 PMC: 10922931. DOI: 10.1002/bies.202300188.