Genome-scale metabolic models (GEMs) are powerful computational tools that predict cellular phenotypes from genomic information, but their predictive accuracy is often hampered by network gaps—missing reactions that disrupt metabolic pathways.
This comprehensive review addresses the critical challenge of maintaining NADPH and ATP cofactor balance in engineered metabolic pathways, a fundamental requirement for efficient bioproduction in microbial cell factories and therapeutic...
Thermodynamic feasibility is a critical but often overlooked constraint in genome-scale metabolic models (GEMs).
This article provides researchers, scientists, and drug development professionals with a systematic framework for harnessing yeast cell factories for heterologous pathway expression.
This article provides a comprehensive overview of advanced high-throughput screening (HTS) methods that are revolutionizing metabolic engineering.
This article provides a comprehensive overview of contemporary enzyme manipulation strategies for optimizing metabolic pathways, tailored for researchers and professionals in drug development.
13C Metabolic Flux Analysis (13C-MFA) is the gold-standard technique for quantifying intracellular reaction rates in living cells, providing critical insights into cellular physiology for metabolic engineering, biotechnology, and disease research.
This article explores the implementation of genetic circuits for dynamic metabolic control, a cutting-edge approach in synthetic biology that moves beyond static engineering.
This article provides a comprehensive analysis of transcription factor-based and nucleic acid-based biosensors for dynamic control of metabolic pathways.
This article provides a comprehensive guide for researchers and scientists on implementing Flux Balance Analysis (FBA) for E.