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.

Documentation