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

Authors :
Sarah M Keating
Dagmar Waltemath
Matthias König
Fengkai Zhang
Andreas Dräger
Claudine Chaouiya
Frank T Bergmann
Andrew Finney
Colin S Gillespie
Tomáš Helikar
Stefan Hoops
Rahuman S Malik‐Sheriff
Stuart L Moodie
Ion I Moraru
Chris J Myers
Aurélien Naldi
Brett G Olivier
Sven Sahle
James C Schaff
Lucian P Smith
Maciej J Swat
Denis Thieffry
Leandro Watanabe
Darren J Wilkinson
Michael L Blinov
Kimberly Begley
James R Faeder
Harold F Gómez
Thomas M Hamm
Yuichiro Inagaki
Wolfram Liebermeister
Allyson L Lister
Daniel Lucio
Eric Mjolsness
Carole J Proctor
Karthik Raman
Nicolas Rodriguez
Clifford A Shaffer
Bruce E Shapiro
Joerg Stelling
Neil Swainston
Naoki Tanimura
John Wagner
Martin Meier‐Schellersheim
Herbert M Sauro
Bernhard Palsson
Hamid Bolouri
Hiroaki Kitano
Akira Funahashi
Henning Hermjakob
John C Doyle
Michael Hucka
SBML Level 3 Community members
Richard R Adams
Nicholas A Allen
Bastian R Angermann
Marco Antoniotti
Gary D Bader
Jan Červený
Mélanie Courtot
Chris D Cox
Piero Dalle Pezze
Emek Demir
William S Denney
Harish Dharuri
Julien Dorier
Dirk Drasdo
Ali Ebrahim
Johannes Eichner
Johan Elf
Lukas Endler
Chris T Evelo
Christoph Flamm
Ronan MT Fleming
Martina Fröhlich
Mihai Glont
Emanuel Gonçalves
Martin Golebiewski
Hovakim Grabski
Alex Gutteridge
Damon Hachmeister
Leonard A Harris
Benjamin D Heavner
Ron Henkel
William S Hlavacek
Bin Hu
Daniel R Hyduke
Hidde de Jong
Nick Juty
Peter D Karp
Jonathan R Karr
Douglas B Kell
Roland Keller
Ilya Kiselev
Steffen Klamt
Edda Klipp
Christian Knüpfer
Fedor Kolpakov
Falko Krause
Martina Kutmon
Camille Laibe
Conor Lawless
Lu Li
Leslie M Loew
Rainer Machne
Yukiko Matsuoka
Pedro Mendes
Huaiyu Mi
Florian Mittag
Pedro T Monteiro
Kedar Nath Natarajan
Poul MF Nielsen
Tramy Nguyen
Alida Palmisano
Jean‐Baptiste Pettit
Thomas Pfau
Robert D Phair
Tomas Radivoyevitch
Johann M Rohwer
Oliver A Ruebenacker
Julio Saez‐Rodriguez
Martin Scharm
Henning Schmidt
Falk Schreiber
Michael Schubert
Roman Schulte
Stuart C Sealfon
Kieran Smallbone
Sylvain Soliman
Melanie I Stefan
Devin P Sullivan
Koichi Takahashi
Bas Teusink
David Tolnay
Ibrahim Vazirabad
Axel von Kamp
Ulrike Wittig
Clemens Wrzodek
Finja Wrzodek
Ioannis Xenarios
Anna Zhukova
Jeremy Zucker
Source :
Molecular Systems Biology, Vol 16, Iss 8, Pp 1-21 (2020)
Publication Year :
2020
Publisher :
Springer Nature, 2020.

Abstract

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.

Details

Language :
English
ISSN :
17444292
Volume :
16
Issue :
8
Database :
Directory of Open Access Journals
Journal :
Molecular Systems Biology
Publication Type :
Academic Journal
Accession number :
edsdoj.86e517962df24b21af078b7f951f7487
Document Type :
article
Full Text :
https://doi.org/10.15252/msb.20199110