Advances in synthetic biology and artificial intelligence (AI) have provided new opportunities
for modern biotechnology. High-performance cell factories, the backbone of industrial …

Histone deacetylases (HDACs) are epigenetic enzymes that play a central role in gene
regulation and are sensitive to the metabolic state of the cell. The cross talk between …

Strain optimization aims to overproduce valuable metabolites by leveraging an
understanding of biological systems, including metabolic networks and gene regulatory …

Temperature affects cellular processes at different spatiotemporal scales, and identifying the
genetic and molecular mechanisms underlying temperature responses paves the way to …

Engineered microorganisms have emerged as viable alternatives for limonene production.
However, issues such as low enzyme abundance or activities, and regulatory …

The production of monoclonal antibodies (mAbs) using Chinese Hamster Ovary (CHO) cells
has revolutionized the treatment of numerous diseases, solidifying their position as a …

Genome-scale metabolic models (GEMs) have found numerous applications in different
domains, ranging from biotechnology to systems medicine. Herein, we overview the most …

Enzyme-constrained genome-scale models (ecGEMs) have potential to predict phenotypes
in a variety of conditions, such as growth rates or carbon sources. This study investigated if …

The influence of metabolism on signaling, epigenetic markers, and transcription is highly
complex yet important for understanding cancer physiology. Despite the development of …

Thinning is a sub-sampling technique to reduce the memory footprint of Markov chain Monte
Carlo. Despite being commonly used, thinning is rarely considered efficient. For sampling …