Antimicrobial–ESKAPE pathogen interaction model: code and data
Python code, raw spreadsheets, digitised endpoint data, and the outputs of a full run for the article "Mathematical modelling and analysis of antimicrobial–ESKAPE pathogen interactions with cross-assay validation" by D.K. Mamo and A.Z. Sendekie (submitted to the Journal of Mathematical Biology). The archive reproduces every number, table, and figure of the article from the raw data. Each figure is accompanied by a CSV file with the plotted values, and the README maps every figure, table, and quantity quoted in the text to the script and output file that produce it. To reproduce: unzip, run "pip install -r requirements.txt", then "python3 run_all.py" in the code folder (about 5–7 minutes). The raw measurements come from Sendekie et al. (2026), Biotechnology Notes 7, 120–141, and Sendekie et al. (2026), PLOS ONE 21(4), e0346865.
Authors
- Aragaw Zemene (ORCID: https://orcid.org/0000-0002-5206-4423)
- Dejen Ketema Mamo (ORCID: https://orcid.org/0000-0002-7126-4711)
Institutions
- Debre Berhan University (ET)
- University of Gondar (ET)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-11-08
- DOI
- https://doi.org/10.5281/zenodo.24054257
- Primary Topic
- Antibiotic Resistance in Bacteria
- Type
- article
- Field-Weighted Citation Impact
- 0.00