A transcriptomics data-driven gene space accurately predicts liver cytopathology and drug-induced liver injury
Predicting the hepatotoxic effects of new drugs is still a challenge. Using toxicogenomics data, the authors here define a predictive toxicogenomic space (PTGS), the component gene space capturing dose-dependent cytotoxicity, and demonstrate that it can be used to accurately predict drug-induced liv...
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| Autores principales: | , , , , , , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
Nature Portfolio
2017
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/b3ffbdb2495c4ed780e332c2488fb16b |
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| Sumario: | Predicting the hepatotoxic effects of new drugs is still a challenge. Using toxicogenomics data, the authors here define a predictive toxicogenomic space (PTGS), the component gene space capturing dose-dependent cytotoxicity, and demonstrate that it can be used to accurately predict drug-induced liver pathology, including human drug-induced liver injury fromin vitrodata. |
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