Advancing drug–target interaction prediction: a comprehensive graph-based approach integrating knowledge graph embedding and ProtBert pretraining
Abstract Background The pharmaceutical field faces a significant challenge in validating drug target interactions (DTIs) due to the time and cost involved, leading to only a fraction being experimentally verified. To expedite drug discovery, accurate computational methods are essential for predictin...
| Main Authors: | , , , |
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| Formato: | Artigo |
| Idioma: | English |
| Publicado: |
BMC
2023-12-01
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| Series: | BMC Bioinformatics |
| Subjects: | |
| Acceso en liña: | https://doi.org/10.1186/s12859-023-05593-6 |