SysBio modelica library
SysBio modelica library implements object-oriented biological modeling components in Modelica to construct comprehensive multi-pathway, multi-tissue systems-biology models for studying hepatic metabolism and related pathologies.
Key Features:
- Modelica implementation: Provides fundamental modeling objects and components implemented for the Modelica environment.
- Object-oriented modeling: Employs object-oriented modeling techniques to compose modular and reusable biological model components.
- Multi-pathway, multi-tissue support: Enables construction of models that integrate multiple metabolic pathways across hepatic and extra-hepatic tissues.
- Transcriptional and post-transcriptional regulation: Incorporates mechanisms for transcriptional and post-transcriptional regulation within metabolic models.
- Normalized steady-state operation: Supports operation at a normalized steady state without requiring detailed kinetic parameter constraints.
- Flux disturbance analysis: Facilitates identification of flux disturbances that can be compared to experimental observations.
- SteatoNet example model: Includes SteatoNet, a multi-pathway, multi-tissue in silico model of hepatic metabolism demonstrating the library’s capabilities.
- Pathway branch identification: Enables analysis that identified glucose, lipid, and ketone body transport branches as drivers toward hepatic steatosis.
- Cholesterol and transcriptional regulator analysis: Highlights cholesterol metabolism and transcriptional regulators as factors contributing to steatosis.
Scientific Applications:
- Hepatic metabolism modeling: Construction and analysis of comprehensive hepatic metabolic network models.
- Non-alcoholic fatty liver disease (NAFLD) research: Investigation of mechanisms and pathway perturbations leading to hepatic steatosis.
- Flux analysis and validation: Identification and comparison of model-predicted flux disturbances with data from liver patients and animal models.
- Regulatory mechanism studies: Exploration of transcriptional and post-transcriptional regulation impacts on metabolism, including cholesterol-related effects.
Methodology:
The library implements object-oriented components in Modelica, integrates transcriptional and post-transcriptional regulation, supports normalized steady-state formulations without detailed kinetic parameters, and enables identification of flux disturbances for comparison with experimental and animal model data.
Topics
Collections
Details
- Maturity:
- Mature
- Cost:
- Free of charge
- Tool Type:
- library
- Operating Systems:
- Linux, Windows, Mac
- Added:
- 5/25/2016
- Last Updated:
- 11/24/2024
Operations
Data Inputs & Outputs
Metabolic network modelling
Publications
Naik A, Rozman D, Belič A. SteatoNet: The First Integrated Human Metabolic Model with Multi-layered Regulation to Investigate Liver-Associated Pathologies. PLoS Computational Biology. 2014;10(12):e1003993. doi:10.1371/journal.pcbi.1003993. PMID:25500563. PMCID:PMC4263370.