Biological technologies are fundamentally unlike any other because biology evolves.
Bioengineering therefore requires novel design methodologies with evolution at their core …

Synthetic biology conceptualizes biological complexity as a network of biological parts,
devices, and systems with predetermined functionalities and has had a revolutionary impact …

The contribution of life sciences to the Knowledge-Based Bioeconomy (KBBE) asks for the
transition of contemporary, gene-based biotechnology from being a trial-and-error …

This paper presents a report on outcomes of the 10th Computational Modeling in Biology
Network (COMBINE) meeting that was held in Heidelberg, Germany, in July of 2019. The …

Computational models are increasingly used in high-impact decision making in science,
engineering, and medicine. The National Aeronautics and Space Administration (NASA) …

Simulation experiments are typically conducted repeatedly during the model development
process, for example, to revalidate if a behavioral property still holds after several model …

The “COmputational Modeling in BIology NEtwork”(COMBINE) initiative aims to harmonise
the development of diverse community standards for computational models in biology [1, 2] …

The field of metabolic modelling at the genomescale continues to grow with more models
being created and curated. This comes with an increasing demand for adopting common …

Reproducibility has been identified as an outstanding challenge in science, and the field of
synthetic biology is no exception. Meeting this challenge is critical to allow the transformative …

This special issue of the Journal of Integrative Bioinformatics contains updated
specifications of COMBINE standards in systems and synthetic biology. The 2022 special …