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・ Network Italy
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Network medicine
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・ NetWork Oasis
・ Network of African National Human Rights Institutions
・ Network of African Science Academies
・ Network of Asian River Basin Organizations
・ Network of Associations of Local Authorities of South-East Europe


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Network medicine : ウィキペディア英語版
Network medicine

Network medicine is the application of network science towards identifying, preventing, and treating diseases. This field focuses on using network topology and network dynamics towards identifying diseases and developing medical drugs. Biological networks, such as protein-protein interactions and metabolic pathways, are utilized by network medicine. Disease networks, which map relationships between diseases and biological factors, also play an important role in the field. Epidemiology is extensively studied using network science as well; social networks and transportation networks are used to model the spreading of disease across populations.
== Background ==

The term "network medicine" was first introduced in ''The New England Journal of Medicine'' in July 2007 by Albert-László Barabási in "Network Medicine - From Obesity to the "Diseasome"".〔Barabási, A. L. (2007). Network medicine—from obesity to the “diseasome”. New England Journal of Medicine, 357(4), 404-407.〕 Barabási states that biological systems, similarly to social and technological systems, contain many components that are connected in complicated relationships but are organized by simple principles. Using the recent development of network theory, the organizing principles can be comprehensively analyzed by representing systems as complex networks, which are collections of nodes linked together by a particular relationship. For networks pertaining to medicine, nodes represent biological factors (biomolecules, diseases, phenotypes, etc.) and links (edges) represent their relationships (physical interactions, shared metabolic pathway, shared gene, shared trait, etc.).〔Chan, S. Y., & Loscalzo, J. (2012). The emerging paradigm of network medicine in the study of human disease. Circulation research, 111(3), 359-374.〕
Three key networks for understanding human disease are emphasized: the metabolic network, the disease network, and the social network. Barabási references the complexity of gene regulation, metabolic reactions, and protein-protein interactions and that representing these as complex networks will shed light on the causes and mechanisms of disease. In April 2007, Goh et al. published a bipartite graph of diseases connected with their associated genes using the OMIM database.〔Goh, K. I., Cusick, M. E., Valle, D., Childs, B., Vidal, M., & Barabási, A. L. (2007). The human disease network. Proceedings of the National Academy of Sciences, 104(21), 8685-8690.〕 The projection of the diseases, called the human disease network (HDN), is a network of diseases connected to each other if they share a common gene. Using the HDN, diseases can be classified and analyzed through the genetic relationships between them. Lastly, he emphasizes that human-to-human interactions play a role in the spread of pathogens and network theory can be applied to social networks for epidemiology.

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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