Method for Essential Protein Prediction Based on a Novel Weighted Protein-Domain Interaction Network.

ABSTRACT: In recent years a number of calculative models based on protein-protein interaction (PPI) networks have been proposed successively. However, due to false positives, false negatives, and the incompleteness of PPI networks, there are still many challenges affecting the design of computational models with satisfactory predictive accuracy when inferring key proteins. This study proposes a prediction model called WPDINM for detecting key proteins based on a novel weighted protein-domain interaction (PDI) network. In WPDINM, a weighted PPI network is constructed first by combining the gene expression data of proteins with topological information extracted from the original PPI network. Simultaneously, a weighted domain-domain interaction (DDI) network is constructed based on the original PDI net

SUBMITTER: Meng Z 

PROVIDER: S-EPMC8010314 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature