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In Silico Prediction of Chemical Toxicity for Drug Design Using Machine Learning Methods and Structural Alerts

During drug development, safety is always the most important issue, including a variety of toxicities and adverse drug effects, which should be evaluated in preclinical and clinical trial phases. This review article at first simply introduced the computational methods used in prediction of chemical...

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Detalles Bibliográficos
Autores principales: Yang, Hongbin, Sun, Lixia, Li, Weihua, Liu, Guixia, Tang, Yun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5826228/
https://www.ncbi.nlm.nih.gov/pubmed/29515993
http://dx.doi.org/10.3389/fchem.2018.00030