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Exploration and augmentation of pharmacological space via adversarial auto-encoder model for facilitating kinase-centric drug development
Predicting compound–protein interactions (CPIs) is of great importance for drug discovery and repositioning, yet still challenging mainly due to the sparse nature of CPI matrixes, resulting in poor generalization performance. Hence, unlike typical CPI prediction models focused on representation lear...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer International Publishing
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8650415/ https://www.ncbi.nlm.nih.gov/pubmed/34872613 http://dx.doi.org/10.1186/s13321-021-00574-4 |