Background Interest in biological clock pathways in bipolar disorders (BD) continues to
grow, but there has yet to be an audit of circadian measurement tools for use in BD research …

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

Like engineering systems, biological systems must also operate effectively in the presence
of internal and external uncertainty—such as genetic mutations or temperature changes, for …

Background A biological system's robustness to mutations and its evolution are influenced
by the structure of its viable space, the region of its space of biochemical parameters where …

The size and complexity of cellular systems make building predictive models an extremely
difficult task. In principle dynamical time-course data can be used to elucidate the structure …

In mammals, the suprachiasmatic nucleus (SCN) of the hypothalamus constitutes the central
circadian pacemaker. The SCN receives light signals from the retina and controls peripheral …

Circadian rhythms are generated at the cellular level by a small but tightly regulated genetic
network. In higher eukaryotes, interlocked transcriptional-translational feedback loops form …

Characterizing the behavior and robustness of enzymatic networks with numerous variables
and unknown parameter values is a major challenge in biology, especially when some …

Motivation: Metabolic engineering algorithms provide means to optimize a biological
process leading to the improvement of a biotechnological interesting molecule. Therefore, it …

Predictive dynamical models are critical for the analysis of complex biological systems.
However, methods to systematically develop and discriminate among systems biology …