Harnessing Multi-Agent AI to Simulate Biological Networks and Cell Signaling

Researchers are developing a multi-agent AI workflow to model complex biological networks, including protein interactions, metabolism, and cell signaling. This approach uses multiple AI agents, each specializing in a different aspect of biological modeling, to collaboratively simulate intricate processes. The workflow enables more accurate and dynamic simulations, potentially accelerating discoveries in systems biology and drug development.