This article provides a comprehensive overview of the Design-Build-Test-Learn (DBTL) cycle, a foundational and iterative framework in modern metabolic engineering.
This article provides a comprehensive comparison of Geometric Programming (GP) and Linear Programming (LP) for optimizing metabolic systems in biomedical research and drug development.
This article provides a comprehensive framework for researchers and drug development professionals to navigate the expanding landscape of metabolic modeling architectures.
This article provides a comprehensive comparative analysis of microbial hosts for the production of high-value chemicals, pharmaceuticals, and bioproducts.
The predictive power of Genome-Scale Metabolic Models (GEMs) is revolutionizing biomedical research, from identifying novel drug targets to engineering microbial cell factories.
This article provides a comprehensive guide for researchers and drug development professionals on applying the Chi-Square Goodness-of-Fit test to evaluate Multilevel Factor Analysis (MFA) models.
Flux Balance Analysis (FBA) is a cornerstone of constraint-based metabolic modeling, but its predictive power is critically dependent on the selection of an appropriate biological objective function.
This article provides a systematic comparison of kinetic and stoichiometric metabolic models, two foundational approaches in systems biology and metabolic engineering.
This article provides a comprehensive guide to model validation and selection for metabolic flux analysis (MFA) and flux balance analysis (FBA), essential constraint-based modeling frameworks in systems biology and metabolic...
This article provides a comprehensive guide for researchers and scientists in biomedical and drug development on validating Flux Balance Analysis (FBA) predictions against experimental flux data.