PredAOT: a computational framework for prediction of acute oral toxicity based on multiple random forest models

BACKGROUND: Acute oral toxicity of drug candidates can lead to drug development failure; thus, predicting the acute oral toxicity of small compounds is important for successful drug development. However, evaluation of the acute oral toxicity of small compounds considered in the early stages of drug...

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Detalles Bibliográficos
Autores principales: Ryu, Jae Yong, Jang, Woo Dae, Jang, Jidon, Oh, Kwang-Seok
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9951537/
https://www.ncbi.nlm.nih.gov/pubmed/36829107
http://dx.doi.org/10.1186/s12859-023-05176-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9951537/
https://www.ncbi.nlm.nih.gov/pubmed/36829107
http://dx.doi.org/10.1186/s12859-023-05176-5

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