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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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Bibliografske podrobnosti
izdano v:Front Chem
Main Authors: Yang, Hongbin, Sun, Lixia, Li, Weihua, Liu, Guixia, Tang, Yun
Format: Artigo
Jezik:Inglês
Izdano: Frontiers Media S.A. 2018
Teme:
Online dostop:https://ncbi.nlm.nih.gov/pmc/articles/PMC5826228/
https://ncbi.nlm.nih.gov/pubmed/29515993
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fchem.2018.00030
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