WILDkCAT: extract, retrieve, and predict enzyme turnover numbers of constraint-based metabolic models.

WILDkCAT retrieves extensive enzyme turnover numbers for Escherichia coli and human models, covering a wide range of enzymes under specified conditions.

• Why it matters: Accurate enzyme turnover numbers are crucial for reliable enzyme-constrained metabolic models, but data scarcity and inconsistency hinder progress in systems biology.
• What they did: The pipeline uses Python to extract kcat values from databases based on user-defined pH and temperature ranges, applied successfully to E. coli and human genome-scale models.
• The result: WILDkCAT enhances kcat data coverage, facilitating more accurate metabolic modeling and enabling broader application across diverse organisms and conditions.