LDS-CNN: a deep learning framework for drug-target interactions prediction based on large-scale drug screening

ConclusionIn this study, we propose a DTI prediction method to solve the problems of unified encoding of large-scale data in multiple formats. It provides a feasible way to efficiently abstract the features among different types of drug-related data, thus reducing experimental costs and time consumption. The proposed method can be used to identify potential drug targets and candidates for the treatment of complex diseases. This work provides a reference for DTI to process large-scale data and different formats with deep learning methods and provides certain suggestions for future research.
Source: Health Information Science and Systems - Category: Information Technology Source Type: research