Ontology highlight
ABSTRACT:
SUBMITTER: Keating SM
PROVIDER: S-EPMC8411907 | biostudies-literature | 2020 Aug
REPOSITORIES: biostudies-literature
Keating Sarah M SM Waltemath Dagmar D König Matthias M Zhang Fengkai F Dräger Andreas A Chaouiya Claudine C Bergmann Frank T FT Finney Andrew A Gillespie Colin S CS Helikar Tomáš T Hoops Stefan S Malik-Sheriff Rahuman S RS Moodie Stuart L SL Moraru Ion I II Myers Chris J CJ Naldi Aurélien A Olivier Brett G BG Sahle Sven S Schaff James C JC Smith Lucian P LP Swat Maciej J MJ Thieffry Denis D Watanabe Leandro L Wilkinson Darren J DJ Blinov Michael L ML Begley Kimberly K Faeder James R JR Gómez Harold F HF Hamm Thomas M TM Inagaki Yuichiro Y Liebermeister Wolfram W Lister Allyson L AL Lucio Daniel D Mjolsness Eric E Proctor Carole J CJ Raman Karthik K Rodriguez Nicolas N Shaffer Clifford A CA Shapiro Bruce E BE Stelling Joerg J Swainston Neil N Tanimura Naoki N Wagner John J Meier-Schellersheim Martin M Sauro Herbert M HM Palsson Bernhard B Bolouri Hamid H Kitano Hiroaki H Funahashi Akira A Hermjakob Henning H Doyle John C JC Hucka Michael M
Molecular systems biology 20200801 8
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 ...[more]