Literature DB >> 32845085

SBML Level 3: an extensible format for the exchange and reuse of biological models.

Sarah M Keating1,2,3, Dagmar Waltemath4, Matthias König5, Fengkai Zhang6, Andreas Dräger7,8,9, Claudine Chaouiya10,11, Frank T Bergmann3, Andrew Finney12, Colin S Gillespie13, Tomáš Helikar14, Stefan Hoops15, Rahuman S Malik-Sheriff2, Stuart L Moodie16, Ion I Moraru17, Chris J Myers18, Aurélien Naldi19, Brett G Olivier1,3,20, Sven Sahle3, James C Schaff21, Lucian P Smith1,22, Maciej J Swat23, Denis Thieffry19, Leandro Watanabe18, Darren J Wilkinson13,24, Michael L Blinov17, Kimberly Begley25, James R Faeder26, Harold F Gómez27, Thomas M Hamm7,8, Yuichiro Inagaki28, Wolfram Liebermeister29, Allyson L Lister30, Daniel Lucio31, Eric Mjolsness32, Carole J Proctor33, Karthik Raman34,35,36, Nicolas Rodriguez37, Clifford A Shaffer38, Bruce E Shapiro39, Joerg Stelling40, Neil Swainston41, Naoki Tanimura42, John Wagner43, Martin Meier-Schellersheim6, Herbert M Sauro22, Bernhard Palsson44, Hamid Bolouri45, Hiroaki Kitano46,47, Akira Funahashi48, Henning Hermjakob2, John C Doyle1, Michael Hucka1.   

Abstract

Systems biology has experienced dramatic growth in the number, size, and complexity of computational models. To reproduce simulation results and reuse models, researchers must exchange unambiguous model descriptions. We review the latest edition of the Systems Biology Markup Language (SBML), a format designed for this purpose. A community of modelers and software authors developed SBML Level 3 over the past decade. Its modular form consists of a core suited to representing reaction-based models and packages that extend the core with features suited to other model types including constraint-based models, reaction-diffusion models, logical network models, and rule-based models. The format leverages two decades of SBML and a rich software ecosystem that transformed how systems biologists build and interact with models. More recently, the rise of multiscale models of whole cells and organs, and new data sources such as single-cell measurements and live imaging, has precipitated new ways of integrating data with models. We provide our perspectives on the challenges presented by these developments and how SBML Level 3 provides the foundation needed to support this evolution.
© 2020 California Institute of Technology Published under the terms of the CC BY 4.0 license.

Entities:  

Keywords:  computational modeling; file format; interoperability; reproducibility; systems biology

Mesh:

Year:  2020        PMID: 32845085     DOI: 10.15252/msb.20199110

Source DB:  PubMed          Journal:  Mol Syst Biol        ISSN: 1744-4292            Impact factor:   11.429


  43 in total

1.  Quantifying the roles of space and stochasticity in computer simulations for cell biology and cellular biochemistry.

Authors:  M E Johnson; A Chen; J R Faeder; P Henning; I I Moraru; M Meier-Schellersheim; R F Murphy; T Prüstel; J A Theriot; A M Uhrmacher
Journal:  Mol Biol Cell       Date:  2020-11-25       Impact factor: 4.138

2.  Vivarium: an interface and engine for integrative multiscale modeling in computational biology.

Authors:  Eran Agmon; Ryan K Spangler; Christopher J Skalnik; William Poole; Shayn M Peirce; Jerry H Morrison; Markus W Covert
Journal:  Bioinformatics       Date:  2022-02-04       Impact factor: 6.937

3.  A numerical approach for detecting switch-like bistability in mass action chemical reaction networks with conservation laws.

Authors:  Brandon C Reyes; Irene Otero-Muras; Vladislav A Petyuk
Journal:  BMC Bioinformatics       Date:  2022-01-04       Impact factor: 3.169

Review 4.  PANTHER: Making genome-scale phylogenetics accessible to all.

Authors:  Paul D Thomas; Dustin Ebert; Anushya Muruganujan; Tremayne Mushayahama; Laurent-Philippe Albou; Huaiyu Mi
Journal:  Protein Sci       Date:  2021-11-25       Impact factor: 6.725

5.  Characteristics of mathematical modeling languages that facilitate model reuse in systems biology: a software engineering perspective.

Authors:  Christopher Schölzel; Valeria Blesius; Gernot Ernst; Andreas Dominik
Journal:  NPJ Syst Biol Appl       Date:  2021-06-03

6.  The status of causality in biological databases: data resources and data retrieval possibilities to support logical modeling.

Authors:  Vasundra Touré; Åsmund Flobak; Anna Niarakis; Steven Vercruysse; Martin Kuiper
Journal:  Brief Bioinform       Date:  2021-07-20       Impact factor: 11.622

Review 7.  In Silico Logical Modelling to Uncover Cooperative Interactions in Cancer.

Authors:  Gianluca Selvaggio; Claudine Chaouiya; Florence Janody
Journal:  Int J Mol Sci       Date:  2021-05-05       Impact factor: 5.923

Review 8.  Curating and comparing 114 strain-specific genome-scale metabolic models of Staphylococcus aureus.

Authors:  Alina Renz; Andreas Dräger
Journal:  NPJ Syst Biol Appl       Date:  2021-06-29

9.  Molecular Mechanisms of the Toll-Like Receptor, STING, MAVS, Inflammasome, and Interferon Pathways.

Authors:  Nathan P Manes; Aleksandra Nita-Lazar
Journal:  mSystems       Date:  2021-06-29       Impact factor: 6.496

10.  Genome-Scale Metabolic Model of Infection with SARS-CoV-2 Mutants Confirms Guanylate Kinase as Robust Potential Antiviral Target.

Authors:  Alina Renz; Lina Widerspick; Andreas Dräger
Journal:  Genes (Basel)       Date:  2021-05-24       Impact factor: 4.096

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