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For any drug, diagnostic or gene therapy application ... tissues reducing therapy and increasing dangerous side effects. Mayo Clinic's Virology, Vector and Vaccine Engineering Laboratory led by ...

DTINet is a computational pipeline to predict novel drug-target interactions (DTIs) from heterogeneous network. DTINet focuses on learning a low-dimensional vector representation of features for each ...

In this project, we compare seven knowledge graph embedding models (TransE, TransR, TransH, UM, DistMult, RESCAL, and ERMLP) applied to Drug Repurposing Knowledge Graph (DRKG), analyzing their ...

Although significant progress has been made in vector control in the last decade, an effective vaccination for VBDs is still lacking. In addition, drug resistance has recently increased in ...