GLORY: Generator of the Structures of Likely Cytochrome P450 Metabolites Based on Predicted Sites of Metabolism

Computational prediction of xenobiotic metabolism can provide valuable information to guide the development of drugs, cosmetics, agrochemicals, and other chemical entities. We have previously developed FAME 2, an effective tool for predicting sites of metabolism (SoMs). In this work, we focus on the...

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Detalles Bibliográficos
Autores principales: de Bruyn Kops, Christina, Stork, Conrad, Šícho, Martin, Kochev, Nikolay, Svozil, Daniel, Jeliazkova, Nina, Kirchmair, Johannes
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Chemistry
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6582643/
https://www.ncbi.nlm.nih.gov/pubmed/31249827
http://dx.doi.org/10.3389/fchem.2019.00402

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6582643/
https://www.ncbi.nlm.nih.gov/pubmed/31249827
http://dx.doi.org/10.3389/fchem.2019.00402

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