The Systems Biology Markup Language (SBML): Language Specification for Level 3 Version 2 Core Release 2.
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BiBTeXComputational models can help researchers to interpret data, understand biological functions, and make quantitative predictions. The Systems Biology Markup Language (SBML) is a file format for representing computational models in a declarative form that different software systems can exchange. SBML is oriented towards describing biological processes of the sort common in research on a number of topics, including metabolic pathways, cell signaling pathways, and many others. By supporting SBML as an input/output format, different tools can all operate on an identical representation of a model, removing opportunities for translation errors and assuring a common starting point for analyses and simulations. This document provides the specification for Release 2 of Version 2 of SBML Level 3 Core. The specification defines the data structures prescribed by SBML as well as their encoding in XML, the eXtensible Markup Language. Release 2 corrects some errors and clarifies some ambiguities discovered in Release 1. This specification also defines validation rules that determine the validity of an SBML document, and provides many examples of models in SBML form. Other materials and software are available from the SBML project website at http://sbml.org/.
SEEK ID: https://seek.lisym.org/publications/179
PubMed ID: 31219795
Projects: Multi-Scale Models for Personalized Liver Function Tests (LiSyM-MM-PLF)
Publication type: Not specified
Journal: J Integr Bioinform
Citation: J Integr Bioinform. 2019 Jun 20;16(2). pii: /j/jib.ahead-of-print/jib-2019-0021/jib-2019-0021.xml. doi: 10.1515/jib-2019-0021.
Date Published: 20th Jun 2019
Registered Mode: Not specified
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Created: 29th Jul 2019 at 08:00
Last updated: 8th Mar 2024 at 07:44
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Projects: LiSyM PALs, Multi-Scale Models for Personalized Liver Function Tests (LiSyM-MM-PLF), LiSyM Pillar IV: Liver Function Diagnostics (LiSyM-LiFuDi), LiSyM network, LiSyM-Krebs Partnering
Institutions: Humboldt-Universität zu Berlin - Institute for Theoretical Biology (ITB)
https://orcid.org/0000-0003-1725-179X
We are investigating liver metabolism and function with the help of computational models and methods.
Group Leader Dr. Matthias König
Institute for Theoretical Biology Humboldt-University Berlin Philippstraße 13, 10115 Berlin, Germany phone +49 30 2093-98435 koenigmx@hu-berlin.de https://www.livermetabolism.com
The König group works on computational modeling, data science, data management, bioinformatics methods and machine learning on ...
Liver Systems Medicine : striving to develop non-invasive methods for diagnosing and treating NAFLD by combining mathematical modeling and biological research. LiSyM, is a multidisciplinary research network, in which molecular and cell biologists, clinical researchers, pharmacologists and experts in mathematical modeling examine the liver in its entirety. LiSyM research focuses on the metabolic liver disease non-alcoholic fatty liver disease (NAFLD), which includes non-alcoholic steatohepatitis ...
Projects: LiSyM Core Infrastructure and Management (LiSyM-PD), LiSyM Pillar I: Early Metabolic Injury (LiSyM-EMI), LiSyM Pillar II: Chronic Liver Disease Progression (LiSyM-DP), LiSyM Pillar III: Regeneration and Repair in Acute-on-Chronic Liver Failure (LiSyM-ACLF), LiSyM Pillar IV: Liver Function Diagnostics (LiSyM-LiFuDi), Model Guided Pharmacotherapy In Chronic Liver Disease (LiSyM-MGP), Molecular Steatosis - Imaging & Modeling (LiSyM-MSIM), The Hedgehog Signalling Pathway (LiSyM-JGMMS), Multi-Scale Models for Personalized Liver Function Tests (LiSyM-MM-PLF), LiSyM PALs, Project Management PTJ, LiSyM network, LiSyM Scientific Leadership Team (LiSyM-LT)
Web page: https://www.lisym.org/
Dr. Matthias König (Humboldt University, Berlin) models the human liver on the computer. His simulations show the extent of individual differences in liver function and the external factors influencing it. König has shown that smoking falsifies the result of an important liver test (LiMAx). With his models, drug doses can be calculated so that they can be administered in doses that do not harm the liver.
Programme: LiSyM: Liver Systems Medicine
Public web page: https://livermetabolism.com
Start date: 1st Jan 2016
We face a crisis in reproducibility, where it is impossible to believe most of the computational results shown in conferences and papers. Recent replication efforts and theoretical considerations indicate that most published research findings in biomedical research are wrong. This is especially problematic for the translation of computational models into the clinics. Modelling standards, software, and community initiatives are fundamental for reproducibility in systems biology and systems medicine. ...
