An Explainable Supervised Machine Learning Model for Predicting Respiratory Toxicity of Chemicals Using Optimal Molecular Descriptors

Respiratory toxicity is a serious public health concern caused by the adverse effects of drugs or chemicals, so the pharmaceutical and chemical industries demand reliable and precise computational tools to assess the respiratory toxicity of compounds. The purpose of this study is to develop quantita...

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Detalles Bibliográficos
Autores principales: Jaganathan, Keerthana, Tayara, Hilal, Chong, Kil To
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9028223/
https://www.ncbi.nlm.nih.gov/pubmed/35456666
http://dx.doi.org/10.3390/pharmaceutics14040832

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9028223/
https://www.ncbi.nlm.nih.gov/pubmed/35456666
http://dx.doi.org/10.3390/pharmaceutics14040832

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