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. 2021 Aug 13;12:693142. doi: 10.3389/fimmu.2021.693142

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Copyright © 2021 Gokuladhas, Schierding, Golovina, Fadason and O’Sullivan

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Overview of the functional modules identified from Ai-PPIN. (A) Schematic representation of the Ai-PPIN module analysis. The Louvain community detection algorithm (18) was applied to detect communities/modules within the Ai-PPIN network. Statistically significant (qs-test) (21) modules (yellow bubble) were identified by comparison with modules from 10000 random networks. Non-significant modules (red bubble) were excluded from further analysis. Functional enrichment analyses using KEGG pathways and GO : BP (gene ontology biological process terms) were performed to identify the biological functions enriched within each module. (B) The Ai-PPIN contains fourteen significant modules. In each module, the nodes represent proteins. The lines connecting the nodes represent interactions between proteins. N and E denotes the number of nodes and edges present in each module respectively. The p-value denotes the statistical significance of the modules (qs-test) (21). Cytoscape (version 3.8.2) was used for visualization of the network.