Sensitivity analysis is an important part of a mathematical modeller's toolbox for model
analysis. In this review paper, we describe the most frequently used sensitivity techniques …

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

A systems pharmacology model typically integrates pharmacokinetic, biochemical network,
and systems biology concepts into a unifying approach. It typically consists of a large …

Chemical processes can be described by detailed kinetic reaction mechanisms consisting of
several hundreds or even thousands of reaction steps. Such reaction mechanisms are used …

Today, in silico studies and trial simulations already complement experimental approaches
in pharmaceutical R&D and have become indispensable tools for decision making and …

The convergence of biology and computational science has ushered in a revolutionary era,
revolutionizing our understanding of biological systems and providing novel solutions to …

Computational and mathematical models in biology rely heavily on the parameters that
characterize them. However, robust estimates for their values are typically elusive and thus a …

Mammalian cells can decode the concentration of extracellular transforming growth factor‐β
(TGF‐β) and transduce this cue into appropriate cell fate decisions. How variable TGF‐β …

A proliferation of new computational methods and software tools for synthetic biology design
has emerged in recent years but the field has not yet reached the stage where the design …

Background Yeast cells live in a highly fluctuating environment with respect to temperature,
nutrients, and especially osmolarity. The Hog1 mitogen-activated protein kinase (MAPK) …