Task-driven knowledge graph filtering improves prioritizing drugs for repurposing.

ABSTRACT:

Background

Drug repurposing aims at finding new targets for already developed drugs. It becomes more relevant as the cost of discovering new drugs steadily increases. To find new potential targets for a drug, an abundance of methods and existing biomedical knowledge from different domains can be leveraged. Recently, knowledge graphs have emerged in the biomedical domain that integrate information about genes, drugs, diseases and other biological domains. Knowledge graphs can be used to predict new connections between compounds and diseases, leveraging the interconnected biomedical data around them. While real world use cases such as drug repurposing are only interested in one specific relation type, widely used knowledge graph embedding models simultaneously optimize over all relat

SUBMITTER: Ratajczak F 

PROVIDER: S-EPMC8894843 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature