Models

This folder contains the python code for developing weighted loss trainer (WeLT) with all the expiremnatal work. Here is the link for our public [GitHub repository] (https://github.com/mobashgr/WELT.git).

Adjusted model to test the model's ability to oxygen consumption rate by permeabilised HepG2 cells in an Oroboros oxygraph. Data from Fletcher et al. (2019).

Adjusted model to test the model's ability to predict palmitoyl-CoA and octanoyl-CoA dehydrogenation in human liver lysate, with and without anti-MCAD and anti-VLCAD antibodies. Data from Aoyama et al. (1995).

Human mitochondrial fatty acid oxidation of saturated, even chain acyl-Coas beginning at C16. See Model description for detail.

Unzip model notebooks and keep in the same folder. Notebook names state which notebooks need to be run before them in order for them to word, e.g. "[needs-(1)]" indicates that the notebook numbered 1 must be run and its exported output generated before the given notebook can work. This has to do with the model being generated in only one notebook to avoid duplication.