Quantifying the Energy Consumption of Biological Information Processing
Researchers at Yale University have developed a new tool to estimate the energetic cost of information transfer between cells and molecular components in biological systems. The study confirms the high energy costs associated with this process and suggests that the geometry and physical details of the system play a significant role in determining these costs. The findings could help explain the high cost of information processing observed in experimental studies and provide insights into the design principles of different cell signaling strategies.