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

The reproducibility of experiments has been a long standing impediment for further scientific
progress. Computational methods have been instrumental in drug discovery efforts owing to …

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

Highlights•Kinetic models integrate heterogeneous data to give metabolic engineering
insights.•Need accurate catalytic and allostery kinetic parameters for quality kinetic …

CRISPR-Cas transcriptional circuits hold great promise as platforms for engineering
metabolic networks and information processing circuits. Historically, prokaryotic CRISPR …

Highlights•Synthetic biology aims to apply engineering principles in biology.•Insufficient part
libraries, standards, and software are challenges to the field.•Working on the challenges will …

Predictions from physiologically based toxicokinetic (PBTK) models can help inform human
health risk assessment for potentially toxic chemicals in the environment. Bisphenol S (BPS) …

The regulation of mitochondrial turnover under conditions of stress occurs partly through the
AMPK-NAD+-PGC1α-SIRT1 signalling pathway. This pathway can be affected by both …

Interactive digital notebooks provide an opportunity for researchers and educators to carry
out data analysis and report the results in a single digital format. Further to just being digital …

The cellular Potts model (CPM) is a powerful in silico method for simulating biological
processes at tissue scale. Their inherently graphical nature makes CPMs very accessible in …