Domain-based PPI network by Weighted Mutual Information (WMI)

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Functional protein-protein interaction (PPI) networks elucidate molecular pathways underlying complex phenotypes, including those of human diseases. Extrapolation of domain-domain interac-tions (DDIs) from known PPIs is a major domain-based method for inferring functional PPI net-works. However, the protein domain is a functional unit of the protein. Therefore, we should be able to effectively infer functional interactions between proteins based on the co-occurrence of do-mains. Here, we present a method for inferring accurate functional PPIs based on the similarity of domain composition between proteins by weighted mutual information that assigned different weights to the domains based on their genome-wide frequencies.

'Citation: Jung Eun Shim and Insuk Lee, Weighted mutual information analysis substantially improves domain-based functional network models Under review

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