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Proteinarium: Multi-sample protein-protein interaction analysis and visualization tool.


ABSTRACT: We posit the likely architecture of complex diseases is that subgroups of patients share variants in genes in specific networks which are sufficient to give rise to a shared phenotype. We developed Proteinarium, a multi-sample protein-protein interaction (PPI) tool, to identify clusters of patients with shared gene networks. Proteinarium converts user defined seed genes to protein symbols and maps them onto the STRING interactome. A PPI network is built for each sample using Dijkstra's algorithm. Pairwise similarity scores are calculated to compare the networks and cluster the samples. A layered graph of PPI networks for the samples in any cluster can be visualized. To test this newly developed analysis pipeline, we reanalyzed publicly available data sets, from which modest outcomes had previously been achieved. We found significant clusters of patients with unique genes which enhanced the findings in the original study.

SUBMITTER: Armanious D 

PROVIDER: S-EPMC7749048 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature

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Proteinarium: Multi-sample protein-protein interaction analysis and visualization tool.

Armanious David D   Schuster Jessica J   Tollefson George A GA   Agudelo Anthony A   DeWan Andrew T AT   Istrail Sorin S   Padbury James J   Uzun Alper A  

Genomics 20200720 6


We posit the likely architecture of complex diseases is that subgroups of patients share variants in genes in specific networks which are sufficient to give rise to a shared phenotype. We developed Proteinarium, a multi-sample protein-protein interaction (PPI) tool, to identify clusters of patients with shared gene networks. Proteinarium converts user defined seed genes to protein symbols and maps them onto the STRING interactome. A PPI network is built for each sample using Dijkstra's algorithm  ...[more]

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