Understanding complex biological systems requires extensive support from software tools.
Such tools are needed at each step of a systems biology computational workflow, which …

New knowledge is produced at a continuously increasing speed, and the list of papers,
databases and other knowledge sources that a researcher in the life sciences needs to cope …

Induction of cytochrome P450 3A4 (CYP3A4) expression is often implicated in clinically
relevant drug-drug interactions (DDI), as metabolism catalyzed by this enzyme is the …

During the last decades, high-throughput techniques allowed for the extraction of a huge
amount of data from biological systems, unveiling more of their underling complexity …

Background Mathematical modeling of angiogenesis has been gaining momentum as a
means to shed new light on the biological complexity underlying blood vessel growth. A …

Collaborative genome-scale reconstruction endeavors of metabolic networks would not be
possible without a common, standardized formal representation of these systems. The ability …

The design challenge for soft body robotics is the creation of modular, complex, self-
repairing, functional constructs. This long-range vision requires moving beyond the synthetic …

Abstract Systems biology models are typically considered across a spectrum from
mechanistic to abstracted description; however, the lines between these forms of modeling …

This paper presents a method for road detection and obstacle detection entirely based on
stereovision. The ground plane is estimated online by least square fitting of disparity data …

Flint is a simulator that numerically integrates heterogeneous biophysical models described
by a large set of ordinary differential equations. It uses an internal bytecode representation …