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Predictive structure-based toxicology approaches to assess the androgenic potential of chemicals

We present a practical and easy-to-run in silico workflow exploiting a structure-based strategy making use of docking simulations to derive highly predictive classification models of the androgenic potential of chemicals. Models were trained on a high-quality chemical collection comprising 1689 cura...

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書目詳細資料
發表在:J Chem Inf Model
Main Authors: Trisciuzzi, Daniela, Alberga, Domenico, Mansouri, Kamel, Judson, Richard, Novellino, Ettore, Mangiatordi, Giuseppe Felice, Nicolotti, Orazio
格式: Artigo
語言:Inglês
出版: 2017
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在線閱讀:https://ncbi.nlm.nih.gov/pmc/articles/PMC6691737/
https://ncbi.nlm.nih.gov/pubmed/29022712
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1021/acs.jcim.7b00420
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