MSI-DTI: predicting drug-target interaction based on multi-source information and multi-head self-attention.

ABSTRACT: Identifying drug-target interactions (DTIs) holds significant importance in drug discovery and development, playing a crucial role in various areas such as virtual screening, drug repurposing and identification of potential drug side effects. However, existing methods commonly exploit only a single type of feature from drugs and targets, suffering from miscellaneous challenges such as high sparsity and cold-start problems. We propose a novel framework called MSI-DTI (Multi-Source Information-based Drug-Target Interaction Prediction) to enhance prediction performance, which obtains feature representations from different views by integrating biometric features and knowledge graph representations from multi-source information. Our approach involves constructing a Drug-Target Knowledge Graph (

SUBMITTER: Zhao W 

PROVIDER: S-EPMC11102638 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature