Understanding how cells process nutrients and produce energy—collectively known as metabolism—is essential in biology. Modern biology generates large datasets on various cellular activities, but integrating and analyzing the vast amounts of data on cellular processes to determine metabolic states is a complex task.

Kinetic models offer a way to decode this complexity by providing mathematical representations of cellular metabolism. They act as detailed maps that describe how molecules interact and transform within a cell, depicting how substances are converted into energy and other products over time. This helps scientists understand the biochemical processes underpinning cellular metabolism. Despite their potential, developing kinetic models is challenging due to the difficulty in determining the parameters that control cellular processes… Continue reading.