This article provides a comprehensive, practical framework for researchers and drug development professionals to select and optimize enzyme activity assay formats for kinetic parameter estimation.
Parameter estimation from partial or incomplete experimental data is a pervasive challenge in biomedical and clinical research, impacting the reliability of models in pharmacokinetics, systems biology, and drug development.
This article provides a comprehensive guide for researchers and drug development professionals on applying the Fisher Information Matrix (FIM) to optimize enzyme kinetic experiments.
This article provides a comprehensive guide to the Kron reduction method for parameter estimation in kinetic models of chemical reaction networks (CRNs), specifically addressing the common challenge of incomplete experimental...
Optimizing enzymatic systems, critical for drug discovery and bioprocess engineering, involves navigating complex, high-dimensional parameter spaces with competing objectives.
Accurate kinetic parameters are fundamental to constructing predictive models of biochemical systems, drug-target interactions, and cellular signaling pathways.
This comprehensive tutorial provides researchers, scientists, and drug development professionals with a complete guide to using the ReKinSim reaction kinetics simulator.
This article provides a comprehensive guide for researchers and drug development professionals on estimating Michaelis-Menten pharmacokinetic parameters using NONMEM, the industry-standard nonlinear mixed-effects modeling software [citation:7].
This article provides a comprehensive guide to nonlinear least squares (NLLS) parameter estimation for enzyme kinetics, tailored for researchers and drug development professionals.
This article provides a comprehensive guide to Bayesian parameter estimation in enzyme kinetics, tailored for researchers, scientists, and drug development professionals.