Fig. 8

Workflow of the construction of the Sus scrofa knowledge graph and the prediction of anti-PRRSV TCM. In this study, we collected and integrated varieties of biomedical data from humans and swine as well as TCM information to construct a Sus scrofa knowledge graph. Then, six models were adopted to generate embedding vectors of the Sus scrofa knowledge graph from which the optimal embedding model was selected according to evaluation indicators, and its embedding vectors were used to predict anti-PRRSV TCMs. By reviewing the HERB database, potential anti-PRRSV TCMs were identified based on their pharmacological activity corresponding to symptoms of PRRS