Stochasticity is a key characteristic of intracellular processes such as gene regulation and
chemical signalling. Therefore, characterizing stochastic effects in biochemical systems is …

The model-informed drug discovery and development paradigm is now well established
among the pharmaceutical industry and regulatory agencies. This success has been mainly …

We introduce Catalyst. jl, a flexible and feature-filled Julia library for modeling and high-
performance simulation of chemical reaction networks (CRNs). Catalyst supports simulating …

We introduce Catalyst. jl, a flexible and feature-filled Julia library for modeling and high
performance simulation of chemical reaction networks (CRNs). Catalyst acts as both a …

We address the problem of simulating biochemical reaction networks with time-dependent
rates and propose a new algorithm based on our rejection-based stochastic simulation …

Computational systems biology aims at integrating biology and computational methods to
gain a better understating of biological phenomena. It often requires the assistance of global …

The dynamics of molecular systems is an essential tool of systems biology. It helps figuring
out what is the effect of the perturbation of a system, or what is the best dose for a drug or …

Nowadays, mathematical modeling is playing a key role in many different research fields. In
the context of system biology, mathematical models and their associated computer …

With the steady advance of in-silico biological experimentation, model construction and
simulation becomes a ubiquitous tool to understand and predict the behaviour of many …

The domain-specific modeling and simulation language ML-Rules is aimed at facilitating the
description of cell biological systems at different levels of organization. Model states are …