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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2013
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3574107/ https://www.ncbi.nlm.nih.gov/pubmed/23457578 http://dx.doi.org/10.1371/journal.pone.0056517 |