DiffSLC: A graph centrality method to detect essential proteins of a protein-protein interaction network.

ABSTRACT: Identification of central genes and proteins in biomolecular networks provides credible candidates for pathway analysis, functional analysis, and essentiality prediction. The DiffSLC centrality measure predicts central and essential genes and proteins using a protein-protein interaction network. Network centrality measures prioritize nodes and edges based on their importance to the network topology. These measures helped identify critical genes and proteins in biomolecular networks. The proposed centrality measure, DiffSLC, combines the number of interactions of a protein and the gene coexpression values of genes from which those proteins were translated, as a weighting factor to bias the identification of essential proteins in a protein interaction network. Potentially essential proteins

SUBMITTER: Mistry D 

PROVIDER: S-EPMC5679606 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature