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. 2014 May 1;10(5):e1003592. doi: 10.1371/journal.pcbi.1003592

Figure 4. Effects of disease-associated nsSNPs rewiring disease interaction networks.

Figure 4

SNP-IN tool is applied to study two disease-centered PPI networks. Each PPI network consists of several binary interactions, some of which are covered by structural templates (shown as protein structures inside the network edges). Binding sites of the corresponding interaction interfaces are shown in grey. The results of nsSNP classification by SNP-IN tool into disruptive (magenta) and preserving (cyan) are shown for proteins whose interactions are structurally covered. A. A sub-network of seven breast cancer associated genes. B. A sub-network of eight diabetes associated genes. C. A structure model of PPI between XRCC3 and RAD51C interacting domains with predicted nsSNP effects. D. A structure model of PPI between HNF1A and PCBD1 interacting domains with predicted nsSNP effects.