Drug-Target Interaction Prediction Based on an Interactive Inference Network.

ABSTRACT: Drug-target interactions underlie the actions of chemical substances in medicine. Moreover, drug repurposing can expand use profiles while reducing costs and development time by exploiting potential multi-functional pharmacological properties based upon additional target interactions. Nonetheless, drug repurposing relies on the accurate identification and validation of drug-target interactions (DTIs). In this study, a novel drug-target interaction prediction model was developed. The model, based on an interactive inference network, contains embedding, encoding, interaction, feature extraction, and output layers. In addition, this study used Morgan and PubChem molecular fingerprints as additional information for drug encoding. The interaction layer in our model simulates the drug-target int

SUBMITTER: Chen Y 

PROVIDER: S-EPMC11277210 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature