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Deep Neural Network-Assisted Drug Recommendation Systems for Identifying Potential Drug–Target Interactions
[Image: see text] In silico methods to identify novel drug–target interactions (DTIs) have gained significant importance over conventional techniques owing to their labor-intensive and low-throughput nature. Here, we present a machine learning-based multiclass classification workflow that segregates...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
American Chemical Society
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9016825/ https://www.ncbi.nlm.nih.gov/pubmed/35449922 http://dx.doi.org/10.1021/acsomega.2c00424 |