SemaTyP: a knowledge graph based literature mining method for drug discovery.

ABSTRACT:

Background

Drug discovery is the process through which potential new medicines are identified. High-throughput screening and computer-aided drug discovery/design are the two main drug discovery methods for now, which have successfully discovered a series of drugs. However, development of new drugs is still an extremely time-consuming and expensive process. Biomedical literature contains important clues for the identification of potential treatments. It could support experts in biomedicine on their way towards new discoveries.

Methods

Here, we propose a biomedical knowledge graph-based drug discovery method called SemaTyP, which discovers candidate drugs for diseases by mining published biomedical literature. We first construct a biomedical knowledge graph with the relations

SUBMITTER: Sang S 

PROVIDER: S-EPMC5975655 | biostudies-literature | 2018 May

REPOSITORIES: biostudies-literature