Home

Summary

WILDkCAT is a Python package that offers a comprehensive range of functions for extracting, retrieving and predicting enzyme kinetic data for a given metabolic model. The tool facilitates enzyme-constrained modelling by assigning specific kcat values to each combination of reaction, enzyme, and substrate(s).

WILDkCAT integrates the BRENDA and SABIO-RK APIs to retrieve experimental values and CataPro to predict missing values. It can be used with various enzyme-constrained metabolic modelling methods, such as COBREXA.jl and GECKO, facilitating the seamless integration of kcat values into a given metabolic model.

---

WILDkCAT also generates HTML reports at each step of the process, providing insights into the data retrieval and prediction outcomes:

---

Publication

WILDkCAT is described in our article published in Bioinformatics:

Escoffier H, Linster CL, Sauter T. WILDkCAT: extract, retrieve, and predict enzyme turnover numbers of constraint-based metabolic models. Bioinformatics. (2026). doi:10.1093/bioinformatics/btag510