Machine Learning for Predicting Risk of Drug-Induced Autoimmune Diseases by Structural Alerts and Daily Dose

An effective approach for assessing a drug’s potential to induce autoimmune diseases (ADs) is needed in drug development. Here, we aim to develop a workflow to examine the association between structural alerts and drugs-induced ADs to improve toxicological prescreening tools. Considering reactive me...

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Detalles Bibliográficos
Autores principales: Wu, Yue, Zhu, Jieqiang, Fu, Peter, Tong, Weida, Hong, Huixiao, Chen, Minjun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8296890/
https://www.ncbi.nlm.nih.gov/pubmed/34281077
http://dx.doi.org/10.3390/ijerph18137139

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8296890/
https://www.ncbi.nlm.nih.gov/pubmed/34281077
http://dx.doi.org/10.3390/ijerph18137139

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