The study presents a systematic analysis of metabolic networks across 43 organisms, revealing that these networks exhibit scale-free properties, similar to non-biological complex systems. Despite variations in their components and pathways, the networks display consistent topological scaling, suggesting a universal design principle for metabolic organization. This structure is robust and error-tolerant, with a few highly connected nodes (hubs) dominating the network. The study also shows that the metabolic network diameter remains constant across all organisms, indicating that even as organisms become more complex, the network maintains a consistent size. This is achieved by increasing the connectivity of individual substrates to maintain a stable network diameter. The results suggest that the same highly connected substrates are used across all organisms, indicating a common blueprint for metabolic organization. The study also finds that metabolic networks are scale-free, with a power-law distribution of connectivity, and are robust to random errors. The findings suggest that the large-scale structure of metabolic networks is identical across all living organisms, with the same highly connected substrates providing the connections between modules responsible for distinct metabolic functions. The study also indicates that the topology of other cellular networks, such as information transfer and cell cycle, may also follow a scale-free pattern, suggesting that robust and error-tolerant architecture may characterize all cellular networks. The results highlight the importance of understanding the large-scale organization of metabolic networks for understanding cellular function and evolution.The study presents a systematic analysis of metabolic networks across 43 organisms, revealing that these networks exhibit scale-free properties, similar to non-biological complex systems. Despite variations in their components and pathways, the networks display consistent topological scaling, suggesting a universal design principle for metabolic organization. This structure is robust and error-tolerant, with a few highly connected nodes (hubs) dominating the network. The study also shows that the metabolic network diameter remains constant across all organisms, indicating that even as organisms become more complex, the network maintains a consistent size. This is achieved by increasing the connectivity of individual substrates to maintain a stable network diameter. The results suggest that the same highly connected substrates are used across all organisms, indicating a common blueprint for metabolic organization. The study also finds that metabolic networks are scale-free, with a power-law distribution of connectivity, and are robust to random errors. The findings suggest that the large-scale structure of metabolic networks is identical across all living organisms, with the same highly connected substrates providing the connections between modules responsible for distinct metabolic functions. The study also indicates that the topology of other cellular networks, such as information transfer and cell cycle, may also follow a scale-free pattern, suggesting that robust and error-tolerant architecture may characterize all cellular networks. The results highlight the importance of understanding the large-scale organization of metabolic networks for understanding cellular function and evolution.