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

E C WoodAmy K GlenLindsey G KvarfordtFinn WomackLiliana AcevedoTimothy S YoonChunyu MaVeronica FloresMeghamala SinhaYodsawalai ChodpathumwanArash TermehchyJared C RoachLuis MendozaAndrew S HoffmanEric W DeutschDavid KoslickiStephen A Ramsey

Published in: BMC bioinformatics (2022)

RTX-KG2 is the first knowledge graph that integrates UMLS, SemMedDB, ChEMBL, DrugBank, Reactome, SMPDB, and 64 additional knowledge sources within a knowledge graph that conforms to the Biolink standard for its semantic layer and schema. RTX-KG2 is publicly available for querying via its API at arax.rtx.ai/api/rtxkg2/v1.2/openapi.json . The code to build RTX-KG2 is publicly available at github:RTXteam/RTX-KG2 .

Keyphrases

healthcare
convolutional neural network
artificial intelligence
drinking water