Detecting Drug-Target Interactions with Feature Similarity Fusion and Molecular Graphs.

ABSTRACT: The key to drug discovery is the identification of a target and a corresponding drug compound. Effective identification of drug-target interactions facilitates the development of drug discovery. In this paper, drug similarity and target similarity are considered, and graphical representations are used to extract internal structural information and intermolecular interaction information about drugs and targets. First, drug similarity and target similarity are fused using the similarity network fusion (SNF) method. Then, the graph isomorphic network (GIN) is used to extract the features with information about the internal structure of drug molecules. For target proteins, feature extraction is carried out using TextCNN to efficiently capture the features of target protein sequences. Three dif

SUBMITTER: Lin X 

PROVIDER: S-EPMC9312204 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature