Regulatory networks as large and complex as those implicated in cell-fate choice are
expected to exhibit intricate, very high-dimensional dynamics. Cell-fate choice, however, is a …

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

In Explaining Cancer, Anya Plutynski addresses a variety of philosophical questions that
arise in the context of cancer science and medicine. She begins with the following …

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

Mardinoglu A, Nielsen J (University of Technology, Gothenburg, Sweden). Systems
medicine and metabolic modelling (Key Symposium). J Intern Med 2012; 271: 142–154 …

Our ability to predict and assess how environmental changes such as pollution and climate
change affect components of the Earth's biome is of paramount importance. This need …

While in the past technology has mostly been utilized to store information about the
structural configuration of proteins and molecules for research and medical purposes …

On observing schizophrenia from a clinical point of view up to its molecular basis, one may
conclude that this is likely to be one of the most complex human disorders to be …

ATP generation by both glycolysis and glycerol catabolism is autocatalytic, because the first
kinases of these pathways are fuelled by ATP produced downstream. Previous modeling …

One of the major objectives in metabolomics is the identification of subtle changes in
metabolite profiles as affected by genetic or environmental factors. Comprehensive two …