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...

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Detalles Bibliográficos
Autores principales: Kang, Hyeunseok, Goo, Sungwoo, Lee, Hyunjung, Chae, Jung-woo, Yun, Hwi-yeol, Jung, Sangkeun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9414546/
https://www.ncbi.nlm.nih.gov/pubmed/36015336
http://dx.doi.org/10.3390/pharmaceutics14081710

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