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DrugnomeAI is an ensemble machine-learning framework for predicting druggability of candidate drug targets
The druggability of targets is a crucial consideration in drug target selection. Here, we adopt a stochastic semi-supervised ML framework to develop DrugnomeAI, which estimates the druggability likelihood for every protein-coding gene in the human exome. DrugnomeAI integrates gene-level properties f...
| Autores principales: | , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9700683/ https://www.ncbi.nlm.nih.gov/pubmed/36434048 http://dx.doi.org/10.1038/s42003-022-04245-4 |