The intricate and complex features of enzymatic reaction networks (ERNs) play a key role in
the emergence and sustenance of life. Constructing such networks in vitro enables stepwise …

The concept of cell fate relates to the future identity of a cell, and its daughters, which is
obtained via cell differentiation and division. Understanding, predicting, and manipulating …

Mathematical models of biological reactions at the system-level lead to a set of ordinary
differential equations with many unknown parameters that need to be inferred using …

The ecological forces that govern the assembly and stability of the human gut microbiota
remain unresolved. We developed a generalizable model‐guided framework to predict …

Getting good performance out of numerical equation solvers requires that the user has
provided stable and efficient functions representing their model. However, users should not …

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

A large number of conventional mechanical tests are required to calibrate advanced
anisotropic yield functions. A well-designed non-conventional mechanical test generating …

Cell-free protein synthesis has been widely used as a “breadboard” for design of synthetic
genetic networks. However, due to a severe lack of modularity, forward engineering of …

With recent advances in digitisation and big data analytics, more pharmaceutical firms are
adopting digital tools to achieve modernisation. The biological phenomena within …

The key processes in biological and chemical systems are described by networks of
chemical reactions. From molecular biology to biotechnology applications, computational …