AI tools accurately describe cellular metabolic status
Author：Eve Cole
Update Time：2024-11-22 19:00:01
Science and Technology Daily, Beijing, September 3 (Reporter Zhang Mengran) A team led by the Ecole Polytechnique Fédérale de Lausanne in Switzerland created an AI-based tool RENAISSANCE that can combine various types of cell data to accurately describe the metabolic status of cells, thereby helping people to be more precise. Understand cell function. RENAISSANCE is a major advance in computational biology, opening new avenues for health research and biotechnology innovation. Modern biology generates vast data sets on various cellular activities. These data sets provide insights into different cellular functions, such as gene activity and protein levels. However, integrating and understanding these data sets to understand cellular metabolism has been a difficult challenge. Kinetic models provide a new way to interpret complex data through mathematical expressions of cellular metabolism. They serve as detailed maps of how molecules interact and transform within cells, and how matter is converted into energy and other products over time. This time the team used RENAISSANCE to create a kinetic model that accurately reflects the metabolic behavior of E. coli. The tool successfully generated a model that matched experimentally observed metabolic behavior, simulating how bacteria adjust their metabolism over time in a bioreactor. The study also demonstrated that the dynamic model can maintain stability even when disturbed by genetic and environmental conditions. The model reliably predicts cellular responses to different scenarios, thereby enhancing its practical utility in research and industrial applications. Metabolomics and proteomics can only detect and quantify a limited number of metabolites and proteins, which can lead to insufficient data coverage, the team said. Modeling techniques that integrate and coordinate data from various sources can remedy this limitation and enhance understanding of entire living systems. From a long-term perspective, RENAISSANCE's ability to accurately simulate cellular metabolism is of great significance. It provides a powerful tool for humans to study metabolic changes and helps develop new treatments and biotechnologies.
