Focusing on in silico engineering biology, this textbook guides readers through the Design-Build-Test-Learn cycle, equipping them with essential modeling tools for biological systems. It covers computational protocols for metabolic pathway design, including enzyme selection and pathway discovery. The final section addresses scaling challenges in industrial biotechnology. Utilizing Scientific Python, the book offers accessible resources for advanced undergraduates and master's students, while also serving as an introductory guide for beginners in scientific coding and practical applications.
