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Empirical comparison and analysis of machine learning-based approaches for druggable protein identification
Efficiently and precisely identifying drug targets is crucial for developing and discovering potential medications. While conventional experimental approaches can accurately pinpoint these targets, they suffer from time constraints and are not easily adaptable to high-throughput processes. On the ot...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Leibniz Research Centre for Working Environment and Human Factors
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10539545/ https://www.ncbi.nlm.nih.gov/pubmed/37780939 http://dx.doi.org/10.17179/excli2023-6410 |