This article provides a comprehensive analysis of AI-driven metabolic pathway optimization for researchers and drug development professionals.
This article provides a comprehensive overview of AI-driven methods for predicting the fundamental enzyme kinetic parameters, kcat (turnover number) and Km (Michaelis constant).
This article explores the transformative role of AI-assisted enzyme engineering, focusing on the CataPro platform for kinetic parameter prediction (kcat, KM, kcat/KM).
This comprehensive guide explores AGORA2 (Assembly of Gut Organisms through Reconstruction and Analysis, version 2), a pivotal resource of genome-scale metabolic models (GEMs) for the human gut microbiome.
This comprehensive guide explores 13C-based Metabolic Flux Analysis (13C-MFA) for elucidating central carbon metabolism.
This article provides a thorough exploration of 13C Metabolic Flux Analysis (13C-MFA) integrated with kinetic modeling for researchers, scientists, and drug development professionals.
This article provides a complete introduction to 13C Metabolic Flux Analysis (13C-MFA), a powerful technique for quantifying intracellular metabolic reaction rates.
This article provides a detailed, step-by-step guide to the 13C Kinetic Flux Profiling (KFP) protocol for researchers and drug development professionals.
This article provides a detailed examination of uncertainty estimation methods in 13C Metabolic Flux Analysis (MFA), a critical technique for quantifying intracellular metabolic fluxes in systems biology and drug development.
This article provides a comprehensive analysis of the dynamic regulation of metabolic fluxes in Saccharomyces cerevisiae, a pivotal model in systems biology and metabolic engineering.