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Bayesian neural network with pretrained protein embedding enhances prediction accuracy of drug-protein interaction
MOTIVATION: Characterizing drug–protein interactions (DPIs) is crucial to the high-throughput screening for drug discovery. The deep learning-based approaches have attracted attention because they can predict DPIs without human trial and error. However, because data labeling requires significant res...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8545317/ https://www.ncbi.nlm.nih.gov/pubmed/33978713 http://dx.doi.org/10.1093/bioinformatics/btab346 |