Network Medicine: A Network-based Approach to Human Disease

Network Medicine: A Network-based Approach to Human Disease

2011 January ; 12(1): 56–68. doi:10.1038/nrg2918 | Albert-László Barabási, Natali Gulbahce, and Joseph Loscalzo
The article "Network Medicine: A Network-based Approach to Human Disease" by Albert-László Barabási, Natali Gulbahce, and Joseph Loscalzo explores the emerging field of network medicine, which uses network theory to understand and treat human diseases. The authors highlight that diseases are not isolated events but reflect complex intracellular network perturbations, influenced by the functional interdependencies between molecular components. They discuss the challenges and opportunities in mapping these networks, including the identification of disease modules and pathways, and the role of hubs and essential genes in disease development. The article also reviews methods for identifying disease modules, such as bioinformatics approaches and experimental mapping, and discusses the application of network-based knowledge in drug discovery and disease classification. The authors emphasize the importance of integrating multiple sources of evidence, from shared genes to environmental factors, to fully understand disease mechanisms and develop effective treatments.The article "Network Medicine: A Network-based Approach to Human Disease" by Albert-László Barabási, Natali Gulbahce, and Joseph Loscalzo explores the emerging field of network medicine, which uses network theory to understand and treat human diseases. The authors highlight that diseases are not isolated events but reflect complex intracellular network perturbations, influenced by the functional interdependencies between molecular components. They discuss the challenges and opportunities in mapping these networks, including the identification of disease modules and pathways, and the role of hubs and essential genes in disease development. The article also reviews methods for identifying disease modules, such as bioinformatics approaches and experimental mapping, and discusses the application of network-based knowledge in drug discovery and disease classification. The authors emphasize the importance of integrating multiple sources of evidence, from shared genes to environmental factors, to fully understand disease mechanisms and develop effective treatments.
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