Baqiyatallah University of Medical Sciences Journal of Applied Biotechnology Reports 2322-1186 12 4 2025 12 01 Statistical Optimization of CYP124 Expression: A New Benchmark for Mycobacterial Cytochrome Engineering 1887 1888 236332 10.30491/jabr.2025.554511.1932 EN Piruz Shadbash Basic and Molecular Epidemiology of Gastrointestinal Disorders Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran Department of Microbiology and Microbial Biotechnology, Faculty of Life Sciences and Biotechnology, Shahid Beheshti University, Tehran, Iran 0009-0008-1328-482X Marzieh Bahari Babadi Department of Biochemistry, Medical School, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran 0009-0002-9280-389X Journal Article 2025 10 20 The study by Gunawan and colleagues (J Appl Biotechnol Rep. 2025;12(3)) introduces a statistically grounded optimization strategy for the heterologous expression of Mycobacterium tuberculosis CYP124 in Escherichia coli using the Box–Behnken Design (BBD). The research identifies the optimal combination of FeCl₃, δ-aminolevulinic acid (5-ALA), and IPTG for maximizing yield and purity of CYP124, a cytochrome P450 enzyme implicated in cholesterol metabolism and drug biotransformation. This commentary highlights the scientific significance, methodological robustness, and biotechnological implications of their findings, particularly in the context of tuberculosis (TB) drug discovery and enzyme engineering.

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