-
Notifications
You must be signed in to change notification settings - Fork 1
Synopsis group 4
Our goal was to create SED-ML files that would reproduce selected experiments from Bachmann et al. [1] in combination with the model selected by Group 2.
Following an initial review of available tools for creating SED-ML files we decided on two separate approaches:
- default simulation in SED-ML WebTools as a basis for experiment-specific simulations in COPASI (as described by Scharm & Waltemath [2)]
- experiment-specific simulations in Tellurium, a Python platform for systems biology [3]
The created SED-ML files were validated in SED-ML WebTools and integrated into the COMBINE archive.
Subsequently, output files were created by
- simulating all SED-ML files within the COMBINE archive using Tellurium and
- loading individual SED-ML files in COPASI or SED-ML WebTools, and included in the COMBINE archive.
In summary, we were able to reproduce many, but not all experiments. Several parameters required to reproduce individual plots were not included in the model itself and would have to be added manually based on details provided in the supplementary material. The specific problems encountered while attempting to reproduce the experiments will be addressed in separate GitHub issues for future reference.
[1] Bachmann, J. et al. Division of labor by dual feedback regulators controls JAK2/STAT5 signaling over broad ligand range. Molecular Systems Biology 7, 516 (2011). https://doi.org/10.1038/msb.2011.50
[2] Scharm, M. and Waltemath, D. A fully featured COMBINE archive of a simulation study on syncytial mitotic cycles in Drosophila embryos. F1000Research 5, 2421 (2016). https://doi.org/10.12688/f1000research.9379.1
[3] Choi, K. et al. Tellurium: An extensible python-based modeling environment for systems and synthetic biology. Biosystems 171, 74-79 (2018), https://doi.org/10.1101/054601
Bioinformatics & Systems biology SS 2021
- Synopsis Group 1
- Sources of Bachmann model
- Software tools for simulation
- How to build a Fully Featured COMBINE Archive?
- Communication channels
- Provision of a template for documentation
- Schedule (draft)
- Review of results
- COMBINE Archive (Testversion!)
- Synopsis Group 2
- Finding of SBML models
- Comparison of SBML models
- The chosen one
- Simulation tools
- Metadata
- Improving metadata annotations
- Synopsis Group 3
- SBGN Maps for Bachmann model
- Choice of SBGN language
- Tool to draw the SBGN Map
- SBGN-Map Drawing, Validation & Beautification
- Integration into COMBINE Archive
- Synopsis Group 4
- Selection of experiments
- Selection of SED-ML tool(s)
- Generation of SED-ML file(s)
- Integration into COMBINE Archive
- Test of SED-ML files and COMBINE Archive