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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Detalles Bibliográficos
Autores principales: Chen, Lei, Lu, Jing, Zhang, Jian, Feng, Kai-Rui, Zheng, Ming-Yue, Cai, Yu-Dong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Research Article
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

Internet

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

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