Published October 9, 2025
| Version v1
Dataset
Open
Dataset II - Multi-omics-driven kinetic modeling reveals metabolic vulnerabilities and differential drug-response dynamics in ovarian cancer
-
1.
École Polytechnique Fédérale de Lausanne
- 2. Ludwig Institute for Cancer Research, Department of Oncology, University of Lausanne
- 3. Ecole Polytechnique Federale de Lausanne, Laboratory of Computational Systems Biotechnology
Description
Dataset II of the study "Multi-omics–driven kinetic modeling reveals metabolic vulnerabilities and differential drug-response dynamics in ovarian cancer" by Toumpe et al. (Dataset I is available at https://zenodo.org/records/17304777)
The accompanying code is available at: https://github.com/EPFL-LCSB/human-cancer-kinetic-models
Dataset contains:
- Flux and concentration control coefficient values from all kinetic model populations for both physiologies.
- Time-resolved simulation data of hexokinase (HEX) inhibition in the BRCA1_wt models, reproducing the results shown in Figure 3.
Files
README.txt
Files
(32.1 GB)
| Name | Size | Download all |
|---|---|---|
|
md5:0d0f4b508a44966490aec9142c86c234
|
9.2 GB | Preview Download |
|
md5:541a1e58776b6f9d9bcd5a68833f37eb
|
15.2 GB | Preview Download |
|
md5:532fc40f2fb082d60a5f276658253860
|
614.5 MB | Preview Download |
|
md5:cc78349e00b5d7b146c575a6a5618c99
|
7.1 GB | Preview Download |
|
md5:e482793d3905fc291865ce640cbedc20
|
589 Bytes | Preview Download |
Additional details
Funding
- European Commission
- SHIKIFACTORY100 - Modular cell factories for the production of 100 compounds from the shikimate pathway 814408
- Swiss National Science Foundation
- Models, Algorithms, Software and Repositories for Synthetic Biology and Biotechnology 188623
- Swiss National Science Foundation
- Functional chemoinformatic modelling of the host cell metabolome to fight apicomplexan parasites 198543
Software
- Repository URL
- https://github.com/EPFL-LCSB/human-cancer-kinetic-models
- Programming language
- Python
- Development Status
- Active