An increasing number of industrial bioprocesses capitalize on living cells by using them as
cell factories that convert sugars into chemicals. These processes range from the production …

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 …

As modeling becomes a more widespread practice in the life sciences and biomedical
sciences, researchers need reliable tools to calibrate models against ever more complex …

Mechanistic mathematical modeling of biochemical reaction networks using ordinary
differential equation (ODE) models has improved our understanding of small-and medium …

Targeted therapeutics hold tremendous promise in inhibiting cancer cell proliferation.
However, targeting proteins individually can be compensated for by bypass mechanisms …

Background Mathematical models provide abstract representations of the information
gained from experimental observations on the structure and function of a particular …

This paper gives a comprehensive review of the application of metaheuristics to optimization
problems in systems biology, mainly focusing on the parameter estimation problem (also …

Background Dynamic modelling provides a systematic framework to understand function in
biological systems. Parameter estimation in nonlinear dynamic models remains a very …

Differential equation models that describe the dynamic changes of biochemical signaling
states are important tools to understand cellular behavior. An essential task in building such …

The key processes in biological and chemical systems are described by networks of
chemical reactions. From molecular biology to biotechnology applications, computational …