Antimicrobial–ESKAPE pathogen interaction model: code and data
Year: 2026
Type: article
Abstract: 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: Mamo, Dejen, Zemene, Aragaw
Institutions: Debre Berhan University, University of Gondar
Language: English
Subfield: Microbiology (medical)
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W7225598589