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Interactome
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===Perturbations and disease=== {{main|Network medicine}} The ''[[topology]]'' of an interactome makes certain predictions how a network reacts to the '''perturbation''' (e.g. removal) of nodes (proteins) or edges (interactions).<ref name="networkbio">{{Cite journal| first1 = A. -L. | first2 = Z. | title = Network biology: understanding the cell's functional organization | last1 = Barab | journal = Nature Reviews Genetics | volume = 5 | issue = 2 | pages = 101–113 | year = 2004 | pmid = 14735121 | doi = 10.1038/nrg1272 | last2 = Oltvai | s2cid = 10950726 }}</ref> Such perturbations can be caused by [[mutations]] of genes, and thus their proteins, and a network reaction can manifest as a [[disease]].<ref name="disnetwork">{{Cite journal | last1 = Goh | first1 = K. -I. | last2 = Choi | first2 = I. -G. | doi = 10.1093/bfgp/els032 | title = Exploring the human diseasome: The human disease network | journal = Briefings in Functional Genomics | volume = 11 | issue = 6 | pages = 533–542 | year = 2012 | pmid = 23063808 | doi-access = free }}</ref> A network analysis can identify [[drug target]]s and [[biomarker]]s of diseases.<ref name="Barabasi">{{Cite journal | pmid = 21164525 | pmc = 3140052 | year = 2011 | last1 = Barabási | first1 = A. L. | title = Network medicine: A network-based approach to human disease | journal = Nature Reviews Genetics | volume = 12 | issue = 1 | pages = 56–68 | last2 = Gulbahce | first2 = N | last3 = Loscalzo | first3 = J | doi = 10.1038/nrg2918 }}</ref>
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