RTX-KG2: a system for building a semantically standardized knowledge graph for translational biomedicine.

ABSTRACT:

Background

Biomedical translational science is increasingly using computational reasoning on repositories of structured knowledge (such as UMLS, SemMedDB, ChEMBL, Reactome, DrugBank, and SMPDB in order to facilitate discovery of new therapeutic targets and modalities. The NCATS Biomedical Data Translator project is working to federate autonomous reasoning agents and knowledge providers within a distributed system for answering translational questions. Within that project and the broader field, there is a need for a framework that can efficiently and reproducibly build an integrated, standards-compliant, and comprehensive biomedical knowledge graph that can be downloaded in standard serialized form or queried via a public application programming interface (API).

Results

To cr

SUBMITTER: Wood EC 

PROVIDER: S-EPMC9520835 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature