Hybrid modeling, with an appropriate blend of the mechanistic and data‐driven framework,
is increasingly being adopted in bioprocess modeling, model‐based experimental design …

Practical experiments drive important scientific discoveries in biology, but theory‐based
research studies also contribute novel—sometimes paradigm‐changing—findings. Here, we …

The incorporation of AI models into bioinformatics has brought about a revolutionary era in
the analysis and interpretation of biological data. This mini-review offers a succinct overview …

Computational biological models have proven to be an invaluable tool for understanding
and predicting the behaviour of many biological systems. While it may not be too …

Studying and analysing the various phases and key proteins of cell cycles is essential for the
understanding of cell development and differentiation. To this end, mechanistic models play …

Splittable systems have emerged as a powerful approach for the precise spatiotemporal
control of biological processes. This concept relies on splitting a functional molecule into …

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 …

Rapid advances in tissue engineering have resulted in more complex and physiologically
relevant 3D in vitro tissue models with applications in fundamental biology and therapeutic …

Post-translational modifications (PTMs) are key regulatory mechanisms that can control
protein function. Of these, phosphorylation is the most common and widely studied. Because …

Schizochytrium sp. is a microorganism cultured for producing docosahexaenoic acid (DHA).
Genome-scale metabolic modeling (GEM) is a promising technique for describing gen …