DLS: A Link Prediction Method Based on Network Local Structure for Predicting Drug-Protein Interactions.

ABSTRACT: The studies on drug-protein interactions (DPIs) had significant for drug repositioning, drug discovery, and clinical medicine. The biochemical experimentation (in vitro) requires a long time and high cost to be confirmed because it is difficult to estimate. Therefore, a feasible solution is to predict DPIs efficiently with computers. We propose a link prediction method based on drug-protein interaction (DPI) local structural similarity (DLS) for predicting the DPIs. The DLS method combines link prediction and binary network structure to predict DPIs. The ten-fold cross-validation method was applied in the experiment. After comparing the predictive capability of DLS with the improved similarity-based network prediction method, the results of DLS on the test set are significantly bett

SUBMITTER: Wang W 

PROVIDER: S-EPMC7193019 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature