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Prediction of Adverse Drug Reaction Linked to Protein Targets Using Network-Based Information and Machine Learning
Drug discovery attrition rates, particularly at advanced clinical trial stages, are high because of unexpected adverse drug reactions (ADR) elicited by novel drug candidates. Predicting undesirable ADRs produced by the modulation of certain protein targets would contribute to developing safer drugs,...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9580901/ https://www.ncbi.nlm.nih.gov/pubmed/36304303 http://dx.doi.org/10.3389/fbinf.2022.906644 |