Research Articles
Predicting Single-Gene Knockout Effects with Kinetic Models: A New Era in Metabolic Engineering and Drug Discovery
This article explores the transformative role of kinetic models in predicting the effects of single-gene knockouts, a critical task in metabolic engineering and therapeutic development.
Flux Balance Analysis in Cancer Metabolism: From Foundational Principles to Clinical Applications
This article provides a comprehensive overview of Flux Balance Analysis (FBA) and its pivotal role in deciphering cancer metabolic reprogramming.
Mastering Large-Scale Kinetic Models with SKiMpy: A Complete Guide for Biomedical Researchers
This comprehensive guide explores SKiMpy, a powerful Python toolbox for constructing and analyzing large-scale kinetic models of biological systems.
Optimization-Based Modeling of Stoichiometries and Kinetics: Accelerating Drug Development from Discovery to Clinic
This article provides a comprehensive overview of optimization-based modeling techniques that simultaneously resolve reaction stoichiometries and kinetics, a critical challenge in understanding complex biological and chemical systems.
From Static Ratios to Dynamic Predictions: Deriving Kinetic Models from Stoichiometric Foundations
This article provides a comprehensive guide for researchers and drug development professionals on advancing from stoichiometric reduction principles to dynamic kinetic models.
Arrhenius Kinetics in Biologics: Predicting Protein Aggregation for Stable Drug Formulations
Accurate prediction of protein aggregation is crucial for developing stable biologic drug products with adequate shelf life.
Multi-Objective Optimization for Metabolic Networks: From Foundational Concepts to Biomedical Applications
Multi-objective optimization has emerged as a pivotal computational framework for analyzing and engineering metabolic networks, moving beyond single-goal paradigms to capture the complex trade-offs inherent in cellular systems.
Flux Balance Analysis for Metabolic Engineering of Pseudomonas putida: From Genome-Scale Models to Biomedical Applications
This article provides a comprehensive overview of Flux Balance Analysis (FBA) applied to engineer the metabolism of Pseudomonas putida for biomedical and biotechnological applications.
Monte Carlo Sampling for Kinetic Model Parameterization: A Comprehensive Guide for Biomedical Research
This article provides a comprehensive overview of Monte Carlo sampling methods for parameterizing kinetic models, a critical task in systems biology and drug development.
Predictive Stability for Biologics: A Practical Guide to Kinetic Modeling for Shelf-Life Prediction
This article provides a comprehensive overview of kinetic modeling methodologies for predicting the shelf life of biologic drug products.