Background Experimental datasets are becoming larger and increasingly complex,
spanning different data domains, thereby expanding the requirements for respective tool …

Gaining knowledge and engineering of biological systems require comprehensive models of
cellular physiology with 100% predictability. The whole-cell models direct experiments in …

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Cells employ signaling pathways to make decisions in response to changes in their
immediate environment. Transforming growth factor beta (TGF-β) is an important growth …

Mathematical models and their simulation are increasingly used to gain insights into cellular
pathways and regulatory networks. Dynamics of regulatory factors can be modeled using …

The cardiac system has been a major target for intensive studies in the multi-scale modeling
field for many years. Reproduction of the action potential and the ionic currents of single …

Biomolecular networks, including genome-scale metabolic models (GSMMs), assemble the
knowledge regarding the biological processes that happen inside specific organisms in a …

Living cells are constantly subjected to a plethora of environmental stimuli that require
integration into an appropriate cellular response. This integration takes place through signal …

Many complex kinetic models in the field of biochemical reactions contain a large number of
species and reactions. These models often require a huge array of computational tools to …

Approaches to investigate biological processes have been of strong interest in the past few
years and are the focus of several research areas like systems biology. Biological networks …