BioSWITCH

BioSWITCH converts static gene regulatory networks encoded in the BioPAX standard into executable GINML logical models to enable simulation and prediction of cellular behavior.


Key Features:

  • BioPAX integration: Processes and interprets networks encoded in the BioPAX standard for downstream conversion.
  • GINML conversion and execution: Transforms BioPAX networks into GINML to produce logical models that can be executed for dynamic analysis.
  • Automated network processing: Automates the de-coding and re-coding of gene network components during the conversion process.
  • Model integration: Integrates BioPAX-derived models into existing GINML graphs to extend or merge network representations.
  • Simulation and prediction: Enables simulation-based prediction of cellular behavior from the resulting logical network models.

Scientific Applications:

  • Gene regulatory network dynamics: Modeling dynamic behavior of gene regulatory networks as executable logical models.
  • Haematopoiesis modeling: Application to gene networks involved in haematopoiesis to study lineage and regulatory dynamics.
  • Cellular response prediction: Predicting cellular responses under physiological or pathological conditions, including responses to drug treatments.

Methodology:

Converts BioPAX-formatted gene regulatory networks to GINML; performs automated de-coding and re-coding of network elements; integrates BioPAX-derived models into existing GINML graphs; applied to a previously published haematopoiesis gene network as a case study.

Topics

Details

License:
MIT
Tool Type:
command-line tool
Programming Languages:
Python
Added:
1/18/2021
Last Updated:
2/4/2021

Operations

Publications

Pavillet CE, Voukantsis D, Buffa FM. Switching On Static Gene Regulatory Networks to Compute Cellular Decisions. Unknown Journal. 2020. doi:10.1101/2020.05.29.122200.