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Predicting Chemical Toxicity Effects Based on Chemical-Chemical Interactions
Toxicity is a major contributor to high attrition rates of new chemical entities in drug discoveries. In this study, an order-classifier was built to predict a series of toxic effects based on data concerning chemical-chemical interactions under the assumption that interactive compounds are more lik...
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| Hauptverfasser: | , , , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Public Library of Science
2013
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3574107/ https://ncbi.nlm.nih.gov/pubmed/23457578 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0056517 |
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