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Fine-tuning of BERT Model to Accurately Predict Drug–Target Interactions
The identification of optimal drug candidates is very important in drug discovery. Researchers in biology and computational sciences have sought to use machine learning (ML) to efficiently predict drug–target interactions (DTIs). In recent years, according to the emerging usefulness of pretrained mo...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9414546/ https://www.ncbi.nlm.nih.gov/pubmed/36015336 http://dx.doi.org/10.3390/pharmaceutics14081710 |