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Using Machine Learning Methods and Structural Alerts for Prediction of Mitochondrial Toxicity
Over the last few years more and more organ and idiosyncratic toxicities were linked to mitochondrial toxicity. Despite well‐established assays, such as the seahorse and Glucose/Galactose assay, an in silico approach to mitochondrial toxicity is still feasible, particularly when it comes to the asse...
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| Pubblicato in: | Mol Inform |
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| Autori principali: | , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
John Wiley and Sons Inc.
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7317375/ https://ncbi.nlm.nih.gov/pubmed/32108997 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/minf.202000005 |
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