Executable Simulation Model of the Liver
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BiBTeXTo address the issue of reproducibility in computational modeling we developed the concept of an executable simulation model (EXSIMO). An EXSIMO combines model, data and code with the execution environment to run the computational analysis in an automated manner using tools from software engineering. Key components are i) models, data and code for the computational analysis; ii) tests for models, data and code; and iii) an automation layer to run tests and execute the analysis. An EXSIMO combines version control, model, data, units, annotations, analysis, reports, execution environment, testing, continuous integration and release. We applied the concept to perform a replication study of a computational analysis of hepatic glucose metabolism in the liver. The corresponding EXSIMO is available from https://github.com/matthiaskoenig/exsimo.
SEEK ID: https://seek.lisym.org/publications/252
DOI: 10.1101/2020.01.04.894873
Projects: Multi-Scale Models for Personalized Liver Function Tests (LiSyM-MM-PLF)
Publication type: Unpublished
Citation: biorxiv;2020.01.04.894873v1,[Preprint]
Date Published: 6th Jan 2020
Registered Mode: by DOI
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Created: 26th Jul 2020 at 09:49
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. ...
