With the rising application of systems biology, sensitivity analysis methods have been widely
applied to study the biological systems, including metabolic networks, signalling pathways …

Optimization aims to make a system or design as effective or functional as possible.
Mathematical optimization methods are widely used in engineering, economics and science …

Quantitative computational models play an increasingly important role in modern biology.
Such models typically involve many free parameters, and assigning their values is often a …

Background We consider the problem of parameter estimation (model calibration) in
nonlinear dynamic models of biological systems. Due to the frequent ill-conditioning and …

Experimental design has a long tradition in statistics, engineering and life sciences, dating
back to the beginning of the last century when optimal designs for industrial and agricultural …

Develo** suitable dynamic models of biochemical pathways is a key issue in Systems
Biology. Predictive models for cells or whole organisms could ultimately lead to model …

Abstract Systems biology applies quantitative, mechanistic modelling to study genetic
networks, signal transduction pathways and metabolic networks. Mathematical models of …

Improved mechanistic understanding of biochemical networks is one of the driving ambitions
of Systems Biology. Computational modeling allows the integration of various sources of …

Mammalian cell culture systems produce high-value biologics, such as monoclonal
antibodies, which are increasingly being used clinically. A complete framework that …

Mathematical models are central in systems biology and provide new ways to understand
the function of biological systems, hel** in the generation of novel and testable …