Abstract Systems biology has experienced dramatic growth in the number, size, and
complexity of computational models. To reproduce simulation results and reuse models …

Computational modelling has become increasingly common in life science research. To
provide a platform to support universal sharing, easy accessibility and model reproducibility …

COPASI is software used for the creation, modification, simulation and computational
analysis of kinetic models in various fields. It is open-source, available for all major platforms …

Here we present Tellurium, a Python-based environment for model building, simulation, and
analysis that facilitates reproducibility of models in systems and synthetic biology. Tellurium …

Reproducibility and reusability of the results of data-based modeling studies are essential.
Yet, there has been—so far—no broadly supported format for the specification of parameter …

BioModels serves as a central repository of mathematical models representing biological
processes. It offers a platform to make mathematical models easily shareable across the …

The iBioSim tool has been developed to facilitate the design of genetic circuits via a model-
based design strategy. This paper illustrates the new features incorporated into the tool for …

Computational models are often employed in systems biology to study the dynamic
behaviours of complex systems. With the rise in the number of computational models, finding …

Computational models have great potential to accelerate bioscience, bioengineering, and
medicine. However, it remains challenging to reproduce and reuse simulations, in part …

Life science researchers use computational models to articulate and test hypotheses about
the behavior of biological systems. Semantic annotation is a critical component for …